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How Can your Business Benefit from a Virtual Phone Number?

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Article originally posted on Data Science Central. Visit Data Science Central

Virtual numbers offer a plethora of benefits. Globalization and multinational corporations have enabled businesses to transcend geopolitical boundaries. A robust yet flexible communication system is essential to these large-scale operations.

It is challenging to coordinate an international team that hails from all corners of the world. Due to different time zones, even finding a common slot for a meeting can be difficult. In addition, instabilities with the Internet and technical issues make things even more difficult.

Communication and coordination challenges in every aspect of your business can be overcome with cloud telephony. Cloud-based numbers are one such solution that helps you maintain a seamless connection with your stakeholders, 24*7 and regardless of location.

Before jumping into the details, let us walk you through the idea about Cloud-based numbers and their functioning.

What is a Virtual Number?

In contrast to physical phone lines or SIM cards, virtual phone numbers are linked via the cloud instead. Customers dialing a business Cloud-based number are automatically routed to your personal or office number according to a predetermined logic.

Benefits of a Business Virtual Number

Aside from the reduced international phone charges, it has many benefits such as increased brand awareness, round-the-clock availability, etc. Here are some of the advantages and features of a business Cloud-based number:

  1. Optimize Expenditure

Virtual numbers do not require extensive hardware setup and related infrastructure. All things are well-taken care of by a good virtual number provider like Knowlarity. Additionally, expenditures for related activities such as maintenance, additional staff, and emergency repairs become redundant. For all of these services, you pay an inexpensive subscription fee to a virtual number provider.

Additionally, Knowlarity offers a ‘pay as you go’ model that gives you control over your expenses while allowing you to scale.

  1. Personal vs. Professional

Professionals know the importance of maintaining a healthy work-life balance. Nevertheless, business owners and entrepreneurs are often swamped by calls throughout the day. A Cloud-based number can separate your business hours and personal hours. A business can forward its calls based on time to a different number. You can receive calls directly at your work during business hours (for instance, from 9 AM to 5 PM). Otherwise, they will either be forwarded to a colleague or go to voicemail.

  1. Enhance Local Presence

For corporations to establish ties with the community, they must blend in with locals. This can be achieved by having local numbers. As a result, a brand is better associated with people while enhancing its trust factor. The likelihood of a customer answering a call from a local number is higher than from an unfamiliar code.

Depending on the city, businesses can choose varying numbers. Your agents would have access to better and more customized information tailored to a particular region and help you analyze call data specific to that region.

  1. 24×7 Connectivity

Nowadays, it is imperative for businesses to be connected round the clock. It is almost impossible for a company to afford to miss a single opportunity to gain new clients. Cloud-based numbers automate this process, routing calls directly to the destination of your choice. So, you can get in touch no matter where you are. Having the ability to work remotely can also give your agents more operational flexibility. This technology provides you with the assurance that you will never miss a phone call again.

  1. IVR Integration

Ever wished you could automatically greet your Punjabi customers while your Bengali-speaking customers were greeted in Punjabi? With Cloud-based numbers and IVR technology, you can accomplish this and more!

Using Interactive Voice Response (IVR), you can automate your entire communication process. Using prerecorded messages, it greets all incoming calls and sends them to the right agents. In addition, callers can benefit from self-help tools, as well as priority service. By reducing wait times and upgrading analytics, companies are able to increase efficiency.

  1. Number Portability

An effective business number is often used as a signal of your identity. Your brand image and sales will suffer if you change your number in the middle of your campaign.

Cloud-based numbers can be easily portable, ensuring your number stays yours! It is easy to transfer a number within a city or to try a different cloud-based telephony service provider by paying a small fee.

Conclusion

An enterprise phone number comes with a number of benefits. Among them is the ability to include or decrease numbers, customize your voicemail during any period, forward calls anywhere, and request custom changes directly from your support provider.

With a Cloud-based number, you’ll have access to all of these features. In addition, cloud-based numbers have everything in the store that an organization needs to expand its total base, unlike traditional telephony systems that don’t provide all of these services.

Additionally, the whole process is so easy to place up with that it is hassle-free to get used to. First, you’ll need to set up your Internet connection. Next, Knowlarity will install the contact center for your office phone system.

 

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Five ways blockchain technology is changing businesses

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Article originally posted on Data Science Central. Visit Data Science Central

Blockchain technology is quickly gaining popularity, not only in the fintech industry, but in the ecosystem as a whole. People had their doubts about the technology in the past but nowadays, it has been seen to benefit businesses in many ways. This  gives momentum to digital technology, where it is getting integrated into traditional businesses. 

The major discouragement large and medium business owners get when they hear about blockchain technology is cryptocurrency. The currency is extremely volatile to change and is still not investor-friendly. At one instance, the currency can rise tenfold, and the very next moment, it could fall far below what you invested. 

Media outlets mostly cover stories that highlight the negative aspects of blockchain technology. There are, however, certain benefits to this that will help businesses. 

Major businesses around the world have suggested that blockchain in the future will mostly revolve around bitcoin. The technology will therefore be impacting several departments in a business, especially in the fields of Operations and Finance. 

What is blockchain technology?

Blockchain technology involves electronically distributed ledgers, which are digital entries. Distributed ledgers resemble stock ledgers. Most people who participate in ledger maintenance keep one. They do this via the internet as an evolved form of keeping track of money. 

Source: https://distantjob.com/blog/hire-blockchain-developers/

Blockchains use several methods to verify transactions made by participants. One of the methods is to use cryptography to process the ledger accounts for accurate results. There is increased trust levels involved along with transparency in using blockchain technology. This is why it’s quickly gaining popularity. 

More and more businesses are moving towards maintaining their ledger accounts digitally. Bitcoin, as we know, is an example of a blockchain technology that is the most popular one right now. 

Benefits of blockchain technology

Blockchain technologies have a number of benefits that businesses need to realize. They are quickly becoming an integral part of organizations and have been seen to be applicable in many industries, such as crowdfunding.

The data structure involved in a blockchain is read-only, which means they cannot be changed from when it’s entered. This safeguards company data during transactions.

Other benefits of the blockchain technology include transactions being recorded in chronological order. This helps when there are any kind of errors related to time of transaction. The time stamps allow for companies to keep track of when the transactions were made. 

The technology also has a decentralized structure as data is stored in millions of computers around the world. It is stored in blocks, and all transactions are transparent. Companies can therefore view what happens to their funds over the long run. 

One of the biggest advantages of blockchain technology is that any transaction that is made can be traced back to when it was made. This means if any party tries to mislead another party, whatever transactions that are made have a digital footprint. This further adds to the security of the technology, making it a clear preference for businesses around the world.

Five ways blockchain is changing businesses

Business owners are finding this new tech to be quite useful in daily transactions. The fact that the entire information is transparent to the owners of the data whilst still being protected from outsiders is mind-blowing. Here are reasons how blockchain is changing businesses. 

  1. Accounting:

Accounting practices are a thing of the past. The current blockchain technology makes accountants feel like they are cavemen trying to make a stone wheel. 

There are several challenges that arise from managing business operations in several places, especially when the business spans over the entire world. The top hierarchy and the board of directors require precision in the accounting practices.  

This is where blockchain tech can help out with almost all of the things mentioned. The transparency aspect of the blockchain system allows for the accounts to be completely transparent in front of selected users.  

Auditors therefore do not have to manually check each and every account. This is already done for them. Instead, they can focus more on investigating any kind of anomalies.

  1. Marketing and advertising:

Bitcoin and other cryptocurrencies are rumored to save advertising companies a total of $19 billion worldwide. That is almost $55 million a day for 365 days. How? Well, advertising agencies and companies are mostly vulnerable to click frauds that occur. These frauds eat up necessary resources the company invests, hoping more people would end up purchasing their product. That never happens and companies lose millions from their marketing budget online.

Blockchain technology can assist by monitoring the system to keep a check on the budget and where it goes. This allows advertisers to keep track of all the money that they have put into the media, from the production point to the publication point. There is always a chance of overcharging in the older system but the newer systems negate that effect. 

  1. Human resources:

The Human Resources (HR) department is integral in recruiting the next generation that will lead the company to greater heights. Their job is not only to recruit the best, but also to train and coordinate the employees into working spaces that increase the overall output. The HR department handles employee relations and provides compensations, bonuses and training that benefits the employee’s experience. Imagine the use of technology in all of these areas. 

The immense importance of keeping track of the transactions, as well as the progress of each individual, cannot be more highlighted. Blockchain is said to reduce the chances of the previous companies of employees in providing wrongful data about the people that are hired. Historical data is stored inside the massive servers of the blockchain technology and cannot be altered. This, therefore, gives an overview of what the employee has been like in previous firms before joining this one. 

Lastly, blockchain technology can also play a huge role in payroll systems. Businesses are advised to maximize on how the technology does the backend work so payments get standardized. This makes it easier to pay each employee. 

  1. Cybersecurity and online practices:

Statistics say that the amount of data that was produced in the year 2018 was more than the amount of data ever produced in human history. That’s a lot of data! Companies of all sizes today are looking for ways to protect such massive data sources from predators and hackers. 

The data stored is very sensitive. Ranging from transaction details of employees to the data of the company’s customers, all has to be protected from being damaged and unauthorized access. The worth of the cyber security market is well over $122 billion globally. Blockchain technology has the potential to protect such markets from hackers and other cyber threats. Because blockchain is transparent, highly resistant to leakages and auditable, not to mention efficient, the chances of a company’s data leaking are close to none. 

  1. Operations and management:

Blockchain technology is one day going to play a key role in shaping the way businesses function. Another reason for how the technology is changing businesses is by creating operational efficiencies and newer opportunities for companies in developing markets. These markets are not yet fully capable of comprehending the company’s products and therefore require a certain advantage or market edge. Operational efficiency through the use of this technology provides that.  

Companies seek to secure their credit and cryptocurrency allows for the companies to do that.  The financial transactions in nations with high inflation indexes along with high currency devaluations have a higher risk of credit going down. Blockchain technology can help reverse this effect and protect vulnerable companies from incurring heavy losses leading to bankruptcy. 

Conclusion 

The internet in the future is going to be the main source through which transactions are going to take place worldwide. More and more people are getting access to it; therefore, it has become the biggest market worldwide. 

Blockchain technology can truly revolutionize the way companies maintain their ledgers. Having read all the reasons above, it is quite clear that the use of blockchain technology immensely benefits companies. Further advances in tech will lead to rise in its demand; hence, the value of bitcoin and other cryptocurrencies will rise through the roof. In a world like that, leaders who make smart decisions will greatly reap the profits in the years to come. The opportunities and applications of the technology are endless. It doesn’t take a genius to realize that. 

The whole idea of businesses getting integrated with technology is occurring right now. The idea of money being transferred digitally from place to place is new and will need some time to get incorporated in daily routines. So before everything ends up with the ones who understood the opportunity first, you better get on the bandwagon and take advantage of blockchain.

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What is Agile Enterprise Risk Management?

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Article originally posted on Data Science Central. Visit Data Science Central

As you may know, I am pretty close to completing my first book – Agile Enterprise Risk Management, Risk-Based Thinking, Multi-Disciplinary Management and Digital Transformation. It is now at the publishers, awaiting finalization. I have established a site for the book and this is the home page text that describes what AERM is all about.

The State of Things

The world is changing faster and faster.  Volatility, Uncertainty, Complexity and Ambiguity (VUCA) is and will be the new normal for the foreseeable future.

COVID’s impact on working life and the Future of Work has been enormous.  Changes that were expected to take place over the next several years materialized within one.  Hybrid work models and Work from Anywhere have begun to change the way that many people work and with it, the way that employment markets work, resetting the balance of power between employers and the workforce.  This will ultimately have significant implications for what I call the Education Industrial Complex.  The traditional four-year bachelor’s degree as prelude to a career may well be transformed into a lifetime of alternating education and employment sprints of no more than two years at a time.  Many institutions of higher learning will not be able to adapt to the changes.

The lifetime of companies is decreasing.  100-year-old industrial companies are giving way to companies that last ten to 20 years before succumbing to the inability to support asset- and workforce-heavy business models or to keep pace with more nimble competitors.  The lifecycle of products is contracting, and more and more people are seeing value in renting or leasing things that they have use for but do not wish to own.  Conversely, electronic goods, such as cell phones, used to be replaced with newer models while they still had substantial useful life.  Now, people are hanging onto them.  Social Media fads come and go with such rapidity, it’s difficult for companies other than the largest players to exploit them in the longer term.

Technology, especially cloud-native architectures and pay-as-you go service models, has enabled start-up and early-stage companies to compete with larger and established competitors in ways they never could before.  The lifespan and value of the ‘Cash Cow’ are diminished, pushing companies to experiment and take risks to ramp up their product pipelines in ways they never did before.

Digital Transformation is now an unavoidable requirement for companies and to be successful, it will have to be performed in a way that impacts how companies do nearly everything.  Just implementing some new technology will not be enough.  It will be critical to set concrete performance objectives and manage the process of transformation based on business results, not traditional project metrics, such as development velocity or completion within the planned scope, schedule and budget.

A sustainable design for your company must be reflect:

  • The need for rapid evolution of business models,
  • The strategic impact of Cloud architecture and pay-as-you-go infrastructures,
  • The diminishing ability to leverage cash cows,
  • The accelerating appearance of new risks and transformation of existing ones and
  • The existential criticality of business agility.

What this all adds up to is high volume, high-velocity change.  Risk Management (RM,) as traditionally practiced, will not be adequate to keep up.

Why?  A lot of current RM is not designed to meet these challenges:

  • A great deal of it is practiced iteratively.  It’s updated periodically while change is occurring continuously.
  • Many companies employ simplified quantitative shortcuts that are not based on valid statistical methods.  This leads to mis-estimating the probability of events and the magnitude of their potential impacts and can lead to inappropriate controls or mitigation efforts.
  • Companies’ RM efforts are often reactive—more tied to mitigating outcomes than addressing sources of risk.
  • Many risks are tied to interdependencies among elements of companies’ anatomy, which are often not well understood.  When changes occur, risks morph and propagate.

Accelerating Risk Management is what AERM is all about.

What’s the Goal?

O.O.D.A. stands for Observe, Orient, Decide, Act.  It was coined by an Air Force officer during the Korean War to describe the process by which a fighter pilot detects and reacts to threats.  The only way to accelerate a response is to shorten the cycle time and each of the steps contributes to decision latency.

Elements of AERM can be applied to each of the steps:

  • Observe: Identifying event indicators you will monitor focuses your attention to enable rapid recognition.  Thinking through a model of what’s important before a change in your business ‘goes live’ helps reduce noise once it does.
  • Orient:  Highlighting characteristics that differentiate indicators and events from each other allows you to filter out noise and make sense of what you’re seeing more quickly than you otherwise could.
  • Decide:  Working within an established framework, with specified parameters, articulated assumptions and pre-determined actions, reduces decision latency.
  • Act:  Having defined how you will respond gets you moving faster than you would if you had to Orient and Decide from scratch under the pressure of exigent circumstances

So, What’s AERM?

Risk Management, like so many other forms of management and governance, is a business process.   An existing repository of risk-related information and a set of defined processes are the starting point for this.  Today, the repository would be your risk register.  If you are implementing AERM, it will be something more.

The resources you have dedicated to RM, the scope of the processes you operate and how they are integrated with your functional business processes will determine your capacity to identify, react to and address risks as they appear or evolve in your business.  In the current environment, the rate at which events to which your RM function must respond will increase, likely dramatically.  You must figure out how to increase your capacity and accelerate your ability to react.  Reconfiguring your RM function to shorten your OODA loop will serve to expand your capacity and increase your velocity by increasing the efficiency of your ability to respond to events.

Business Process Redesign and automation are the tools available to you to do this, just as they would be for any other process in your business.  AERM is predicated on the information generated by management disciplines, such as Enterprise and Business Architecture and Business Process Management, that you should already be employing to run your company.  In formalizing the processes by which you evolve and transform your company, you will enable yourself to shorten your OODA loop and facilitate your ability to transform at speed.

How does AERM help?

  • It defines a set of models which you will use to help understand your organization and identify interdependencies that can create or amplify risks.
  • It defines processes that ensure that the repository data is maintained consistently and treats changes as transactions against it that trigger governance and RM actions.
  • Employs Knowledge Management and Taxonomy disciplines to ensure consistent recognition of events, maximize opportunities for consolidation and reuse of assets and minimize the creation of Technical Debt.

Why the Book?

To meet the challenges of the moment, you will have to undertake two transformations simultaneously: Digital Transformation and AERM adoption.  All transformations have risks associated with execution and outcomes.  In the book, I show how these can be complementary to one-another and how your AERM adoption can help to mitigate the risks associated with your Digital Transformation.  In addition to laying out a logical path to reaching a desirable end-state, I also provide three case studies that show how it’s done.  Obviously, you will need to design, prioritize and plan your own path.  The book will help you to do that.

Good luck with your transformations.

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Georgia Tech Researchers Create Wireless Brain-Machine Interface

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MMS Anthony Alford

Article originally posted on InfoQ. Visit InfoQ

Researchers from Georgia Tech University’s Center for Human-Centric Interfaces and Engineering have created soft scalp electronics (SSE), a wearable wireless electro-encephalography (EEG) device for reading human brain signals. By processing the EEG data using a neural network, the system allows users wearing the device to control a video game simply by imagining activity.

By Anthony Alford

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Article: How Unnecessary Complexity Gave the Service Mesh a Bad Name

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MMS Chris Campbell

Article originally posted on InfoQ. Visit InfoQ

There is immense value in adopting a service mesh, but it must be done in a lightweight manner to avoid unnecessary complexity. Take a pragmatic approach when implementing a service mesh by aligning with the core features of the technology, such as standardized monitoring and smart routing, and watching out for distractions.

By Chris Campbell

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Real-World Applications Of Machine Learning In Healthcare

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Article originally posted on Data Science Central. Visit Data Science Central

The healthcare industry has always benefited from technological advances and their offerings. From pacemakers and X-Rays to electronic CPRs and more, healthcare has been able to add value to society and its evolution immensely due to the role of technology. Taking the evolution forward at this phase of advancements is Artificial Intelligence (AI) and its allied technologies such as machine learning, deep learning, NLP, and more.

In more ways than imaginable, AI and machine learning concepts are helping doctors and surgeons save precious lives seamlessly, detect diseases and concerns even before their advent, manage patients better, engage more effectively in their recovery process, and more. Through AI-driven solutions and machine learning models, organizations around the world are able to better deliver healthcare to people.

But how exactly are these two technologies empowering hospitals and healthcare providers? What are the real-world tangible applications of use cases that make them inevitable? Well, let’s find out.

The Role Of Machine Learning In Healthcare

For the uninitiated, machine learning is a subset of AI that allows machines to autonomously learn concepts, process data, and deliver desired results. Through different learning techniques such as unsupervised, supervised learning, and more, machine learning models learn to process data through conditions and clauses and arrive at outcomes. This makes them ideal to churn out prescriptive and predictive insights.

These insights immensely help in the organizational and administrative side of healthcare delivery such as patient and bed management, remote monitoring, appointment management, duty rosters creation, and more. On a daily basis, healthcare professionals spend 25% of their time on redundant tasks such as records management & updation and claims processing, which prevents them from delivering healthcare as required.

The implementation of machine learning models could bring in automation and eliminate human intervention in places they are least required. Besides, machine learning also helps in optimizing patient engagement and recovery by sending out timely alerts and notifications to patients on their medications, appointments, reports collection, and more.

Besides these administrative benefits, there are other practical benefits of machine learning in healthcare. Let’s explore what they are.

Let’s discuss your AI Training Data requirement today.

Real-World Applications of Machine Learning

Disease Detection & Efficient Diagnosis

One of the major use cases of machine learning in healthcare lies in the early detection and efficient diagnosis of diseases. Concerns such as hereditary and genetic disorders and certain types of cancers are hard to identify in the early stages but with well-trained machine learning solutions, they can be precisely detected.

Such models undergo years of training from computer vision and other datasets. They are trained to spot even the slightest of anomalies in the human body or an organ to trigger a notification for further analysis. A good example of this use case is IBM Watson Genomic, whose genome-driven sequencing model powered by cognitive computing allows for faster and more effective ways to diagnose concerns.

Efficient Management of Health Records

Despite advancements, the maintenance of electronic health records is still a plaguing concern in the healthcare sector. While it is true that it has become a lot easier compared to what we collectively used earlier, health data is still all over the place.

This is quite ironic because health records need to be centralized and streamlined (let’s not forget interoperable, too). However, a lot of crucial details that go missing from records, are either locked or wrong. However, the influence of machine learning is changing all these as projects from MathWorks and Google are helping in the automatic updation of even offline records through handwriting detection technologies. This ensures healthcare professionals across verticals have timely access to patient data to do their job.

Diabetes Detection

The problem with a disease like diabetes is that a lot of people have it for a prolonged period of time without experiencing any symptoms. So, when they actually experience the symptoms and effects of diabetes for the first time, it’s already quite late. However, instances like these could be prevented through machine learning models.

A system built on algorithms such as Naive Bayes, KNN, Decision Tree, and more could be used to process health data and predict the onset of diabetes through details from an individual’s age, lifestyle choices, diet, weight, and other crucial details. The same algorithms could also be used to detect liver diseases accurately.

Behavioral Modification

Healthcare is beyond treating diseases and illnesses. It’s about overall wellbeing. Often, we as humans reveal more about ourselves and what we go through with our bodily gestures, postures, and overall behavior. Machine learning-driven models can now help us identify such subconscious and involuntary actions and make necessary lifestyle changes. This could be as simple as wearables that recommend you to move your body after prolonged periods of idle time or apps that ask you to correct your body postures.

Discovering New Drugs & Medications

A lot of major health ailments still don’t have a cure. While there are immediately life-threatening concerns like cancer and AIDS on one side, there are also chronic illnesses that could eat up individuals for their entire life such as autoimmune diseases and neurological disorders.

Machine learning is immensely helping organizations and drug manufacturers to come up with medications for major diseases faster and more effectively. Through simulated clinical trials, sequencing, and pattern detection, companies are now able to fast-track their experimentation and observation processes. A lot of unconventional therapies and remedies are also being developed in parallel to mainstream medicine with the help of machine learning.

Wrapping Up

Machine learning is significantly reducing the time required for us humans to reach the next phase of evolution. We are now moving ahead at a pace faster than how we got here. With more use cases, experiments and applications, we could be discussing how cancer has been cured or how a devastating pandemic avoided due to a simple smartphone app in the coming years. AI in Healthcare is revolutionizing the medical industry

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Enterprise Database Management System (DBMS) Market- Increasing Demand with …

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Posted on mongodb google news. Visit mongodb google news

Latest added Global Enterprise Database Management System (DBMS) Market research study by QY Reports offers detailed outlook and elaborates market review till 2028. The market Study is segmented by key regions that are accelerating the marketization. The Enterprise Database Management System (DBMS) Market report focuses on market size, share, growth, emerging trends and market area analysis. The research also includes a comprehensive analysis of various market factors, including market drivers, restrictions, trends, risks, and opportunities that are common in the market. SWOT and Porter’s Five analysis are also effectively discussed to analyze informative data such as cost, prices, revenue, and end-users.

Leading Players Analysis in Enterprise Database Management System (DBMS) Market: Oracle, Microsoft, IBM, SAP, AWS, MongoDB, Google Cloud, MarkLogic, MariaDB Corporation, InterSystems, Cloudera, Teradata, Vertica, Alibaba Cloud, Knack, TeamDesk by ForeSof

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This research report on the Enterprise Database Management System (DBMS) market provides a complete analysis of the market sphere and various market segmentation. The research report clearly portrays the substantial growth that the Enterprise Database Management System (DBMS) market is expected to attain during the forecast period. The analysis also composes and facts all respecting market size, market growth rate, growing industry drivers, and key market trends. A complete examination of the important growth influencers of the Enterprise Database Management System (DBMS) industry in the next few years is also represented in the report.

The Global Enterprise Database Management System (DBMS) market report also encompasses the regional analysis including North America, Europe, Asia-Pacific, South America, Middle East & Africa to offer the complete regional development status. Additionally, the report also provides necessary recommendations and suggestions for the Enterprise Database Management System (DBMS) market players in order to attain a competitive edge in various regions.

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  • Other essential data including risks, opportunities, latest developments, challenges, and future scope of the market are accurately covered in the report.
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Enterprise Database Management System (DBMS) Market Segmentation:

The Enterprise Database Management System (DBMS) market report has classified the market into segments including product type, and application. Every segment is evaluated based on share and growth rate. Besides, the analysts have studied the potential regions that may prove rewarding for the market players in the coming years. The regional analysis includes reliable predictions on value and volume, thereby helping market players to gain deep insights into the overall industry. The study provides market size and forecast till 2028 for overall Enterprise Database Management System (DBMS) market with respect to five major regions, namely: North America, Europe, Asia-Pacific, Middle East and Africa and South America.

Market by Types:

Relational Database, Nonrelational Databas

Market by Application:

Relational Database, Nonrelational Databas

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Article originally posted on mongodb google news. Visit mongodb google news

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NoSQL Market Growth Analysis on Latest Trends and Forecast by 2028 – Stillwater Current

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Posted on nosqlgooglealerts. Visit nosqlgooglealerts

The NoSQL Market 2021 report provides a detailed analysis of the dynamic of the market with extensive focus on secondary research. The report sheds light on the current situation of the market size, share, demand, development patterns, and forecast in the coming years.

This has brought along several changes in This report also covers the impact of COVID-19 on the global market.

The report Global NoSQL Market analyzes the strategy patterns, and forecast in the coming years. The report evaluates the market size of the Global NoSQL Market studies the strategy patterns adopted by the prominent international players.

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The report highlights the key players and manufacturers and the latest strategies including new product launches, partnerships, joint ventures, technology, segmentation in terms of region and industry competition, profit and loss ration, and investment ideas. A precise evaluation of effective manufacturing techniques, advertisement techniques, market share size, growth rate, size, revenue, sales and value chain analysis.

Key Competitors of the Global NoSQL Market are:
Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, MongoLab, MarkLogic, Couchbase, CloudDB, DynamoDB, Basho Technologies, Aerospike, IBM, Neo, Hypertable, Cisco, Objectivity

The ‘Global NoSQL Market Research Report’ is a comprehensive and informative study on the current state of the Global NoSQL Market industry with emphasis on the global industry. The report presents key statistics on the market status of the global NoSQL market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

Major Product Types covered are:

Key-Value Store

Document Databases

Column Based Stores

Graph Database

Major Applications of NoSQL covered are:

Data Storage

Metadata Store

Cache Memory

Distributed Data Depository

e-Commerce

Mobile Apps

Web Applications

Data Analytics

Social Networking

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Regional NoSQL Market (Regional Output, Demand & Forecast by Countries):-
North America (United States, Canada, Mexico)
South America ( Brazil, Argentina, Ecuador, Chile)
Asia Pacific (China, Japan, India, Korea)
Europe (Germany, UK, France, Italy)
Middle East Africa (Egypt, Turkey, Saudi Arabia, Iran) And More.

The research report studies the past, present, and future performance of the global market. The report further analyzes the present competitive scenario, prevalent business models, and the likely advancements in offerings by significant players in the coming years.

Important Features of the report:
– Detailed analysis of the Global NoSQL market
–Fluctuating market dynamics of the industry
–Detailed market segmentation
– Historical, current and projected market size in terms of volume and value
– Recent industry trends and developments
– Competitive landscape of the Global NoSQL Market
– Strategies of key players and product offerings
– Potential and niche segments/regions exhibiting promising growth
– A neutral perspective towards Global NoSQL market performance

Access full Report Description, TOC, Table of Figure, Chart, etc. @   https://www.reportsinsights.com/industry-forecast/NoSQL-Market-525382

Reasons to Purchase Global NoSQL Market Report:
1. Current and future of Global NoSQL market outlook in the developed and emerging markets.
2. Analysis of various perspectives of the market with the help of Porter’s five forces analysis.
3. The segment that is expected to dominate the Global NoSQL market.
4. Regions that are expected to witness the fastest growth during the forecast period.
5. Identify the latest developments, Global NoSQL market shares, and strategies employed by the major market players.

Besides, the market study affirms the leading players worldwide in the Global NoSQL market. Their key marketing strategies and advertising techniques have been highlighted to offer a clear understanding of the Global NoSQL market.

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How Artificial Intelligence Is Changing the Future of Digital Marketing?

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Article originally posted on Data Science Central. Visit Data Science Central

According to a survey conducted by PwC, 72% of business leaders use AI for their business advantage. The Digital marketing world has been restructured immensely since the emergence of AI. It helps companies develop powerful digital strategies, optimizes campaigns, and improves return on investment.

Teleflora, a floral company in the US, used AI marketing to build new customers’ profiles and improve customer loyalty. Using these historical data, Teleflora used AI marketing to predict the future customer behavior of different audience segments.

This is how AI is restructuring the digital market in today’s time. It is a practice adopted by numerous brands to increase their sales and ROI. It is necessary to understand how this works.

Why is Artificial Intelligence Gaining Momentum in Recent Times?

Artificial Intelligence (AI) can think, read, and react almost like humans when trained with a large enough data set. While AI can perform all tasks technically, it is best known for robotics, speech, and image recognition.

Greater work efficiency

By providing general support through AI tools, you can increase employee satisfaction and increase productivity. Automation can be used to replace work that, unlike a lot, is considered unproductive.

For example, workers can dedicate more time to create tasks that require human intelligence and out-of-the-box problem-solving capabilities. Menial and redundant tasks like data entry, segregating leads from a marketing campaign, and responding to FAQs by customers can be easily handed over to chatbots and AI.

Human intervention can be reserved exclusively to handle complex customer interactions and find resolutions to problems that are not pre-programmed.

Deeper data are analyzed for insights by AI

Data insight refers to the understanding of specific business phenomena that can be achieved by analyzing data sets using machine learning and artificial intelligence (AI) technologies. For example, a machine learning model estimating the likelihood that a customer will churn can uncover factors driving churn rates and enable decision-makers to change business strategies and processes.

Help you understand and know your audience

By analyzing data, AI can easily predict the purchasing behavior and decision-making of target customers, improve user experience, and provide customers with what they really need.

Increase in ROI

AI allows you to automate many repetitive tasks. This can improve productivity. “More than half (51%) of decision making acknowledges that cost reduction is the first area AI is offering,” says Joe McKendrick of Forbes. At the same time, AI is helping businesses enhance profitability and reduce costs.

How do Digital Marketing and Artificial Intelligence Get Along?

Artificial Intelligence has been adopted by brands to communicate with their clients. It is an experiment to adopt conversational marketing in their day-to-day lives.

With the advances in machine learning, AI is unlocking the potential of hyper-personalization through personalized product recommendations, intelligent content recommendations, and customer support suggestions.

The marketing world is using some sophisticated marketing analytics technologies. These are used for building customer relationship management (CRM) applications which include data management and better customer handling. Most CRM platforms include the business of analyzing customer data and that helps SDRs improve the relationship with them. Here, AI becomes very useful as it is excellent at interpreting and comprehending inputs when trained on a large enough data set. Just the same way as Google Dialogflow, which provides you with an overview of what AI should look like and proves its efficacy.

The business fields are rapidly using these technologies to attain a better position in the market and grow their business in a more sophisticated manner.

With AI, advertisers and brands save a lump-sum amount of time and money.

  • AI is used to learn more about customers preferences and choices
  • It plays a significant role in enhancing customers’ choices and providing the audience with what they want.
  • It helps you to build successful campaigns.
  • It is used to help simplify routine activities.
  • AI is helping companies in saving costs and growing sales tremendously.
  • Empowers decision-making by producing better performing content.
  • Helps in targeting the right customer that would allow you to get in touch with your target audience.

In the world of digital marketing, the use of AI has been prevalent and along with the greater use of chatbots. They have proved to be crucial to development.

But in the midst of it, let’s understand what chatbots mean and how they shape the marketing system.

Role of Chatbots in this Development

A chatbot is a software that uses AI to talk and chat and determine responses. You may have used chatbots on a website looking for answers to your questions. Chatbots can have audio or text conversations. The latter is usually displayed in a chat window on your computer’s screen.

Chatbots, also known as messenger bots, are known to be the best new marketing channels since 2017. Chatbots are out in the world for marketing your business. It is different from the same marketing channels you have used in the past, such as advertising and email.

However, chatbots are the most effective marketing tool, especially on your website and social media. It engages visitors already coming to your website through interactive conversations and provides a relevant and satisfactory resolutions to customer queries. Chatbots can provide customer service that benefits both customers and brands and help with messaging targeting, collecting data about customers, and delivering targeted messages on behalf of users.

Chatbots can move customers into the sales funnel by asking more specific questions to help them find the product they want. Recently, National Australia Bank (NAB) launched a chatbot as a digital bunker for business customers, saving time spent on customer management tasks. The chatbot can answer customer questions 24/7. The software can use real customer answers to answer more than 200 questions and more than 13,000 variants.

Benefits of AI in the World of Marketing

1. Brings Clarity

According to a recent survey, 71% of marketing respondents say that brands do not understand consumer fundamentals. Therefore, 66% of marketers said they want brands to invest more to build customer awareness and relationships. Set up notifications and alerts and get clear, accurate answers when it matters, thanks to AI-powered voice guidance, technology, and IoT.

2. Puts Marketing on Autopilot

Some people often fear the uncertainty of AI replacing humans. Many others believe that AI works for humans and not ‘instead of’ humans.

It can simplify your marketing efforts by intelligently responding and taking feedback from your consumers. You no longer need to invest your time into menial tasks like responding to repetitive queries or FAQs to market yourself and your business because AI assistants like AmazonEcho can do it for you.

It’s not enough to just read a speech-to-speech activation message on the device. Over time, AI can function more autonomously. From purchase to flight booking, to giving you necessary recommendations and even financial management.

3. Voice Recognition and Enhanced Security

AI voice assistants like Siri use voice recognition to make lives easy for the users. Additionally, it provides added security by only getting activated upon listening to the voice of the owner.

Thanks to AI and ML algorithms, the device intelligently recognizes voice changes and modulations to a considerable degree so that it always responds to the device owner.

4. Natural Conversation

When voice assistant technology was still in its infancy, your device may have been able to recognize your voice and respond but not enable a smooth flow of conversation.

With breakthroughs in tech and NLP (Natural Language Processing), voice assistants like Google are able to maintain a feedback-response loop and even have short conversations with users.

Application Areas of Artificial Intelligence in Digital Marketing for Your Business

1. Product Recommendations

Product recommendation utilizes technology to create personalized content recommendations for users, such as people who buy X also buy Y.

It is prevalent across e-commerce platforms and is implemented to maximize the following:

  • Time of page
  • Engagement
  • Interactions with the site
  • Sales and revenue

Netflix’s referral system can offer movies and TV shows that you may like.

2. AI Chatbot

A chatbot is the biggest example of using AI technology. When you ponder about chatbots, Google Dialogflow, Amazon Lex, Azure Bot services can essentially manage to cross your mind, or it just did. These bots help translate your instructions to a more structured format for your apps and services to understand. Several AI Chatbots like WotNot can help you communicate better with customers with a simple and easy way to build bots using no-code. You can add useful chatbots to websites, emails, apps, and text messages to interact with your current and future customers.

3. Searching Content Online

The way we find knowledge has changed, and advertisers need to keep pace and continually develop and publish content to keep pace with changing needs. These notable recent product developments include Amazon’s Echo, Microsoft’s Cortana, and Google’s Home. This product allows you to perform basic voice questions and enable voice control actions by pushing all simple buttons.

4. Email Marketing

Brands use the power of AI to personalize email marketing campaigns based on ratings and user behavior. This will give you a better connection with them, and some luck will allow you to switch to the client.

Machine learning and auto-learning analyze the data of millions of consumers and generate the best time and day of the week to contact users, recommended frequency, and the most intriguing content in the subject and title of the email, which will lead to more clicks of the mail. The A / B test is time-consuming and may have some errors. So, in this sense, AI is your best friend in personalizing each subscriber’s email content.

5. Statistics and Data

  • The AI market is estimated to grow as a $190 billion industry by 2025.
  • Spending on cognitive systems and AI systems in the world in 2021 will reach $57.6 billion.
  • By 2019, AI was used by 40% of digital transformation initiatives.
  • By 2021, 75% of enterprises will use AI for their businesses.

Some Case Studies of Brands Using AI for Digital Marketing

1. Alibaba

Alibaba, a physical store that is a “FashionAI,” uses a technology that responds to the changing expectations of consumers. A recent report by Retail Dive found that 46% of those surveyed said positive experiences with technology boost their confidence in a particular brand. In comparison, 44% said that a satisfactory experience would make them want to go into a business more often.

2. Starbucks

Starbucks is a brand that uses loyalty cards and mobile apps to collect and analyze customer data. They announced their plans in 2016. Since then, they have built a considerable app experience. Record purchase history, such as when and where you purchased.

Starbucks uses predictive analytics to process this data and provide customers with a personalized marketing message. These messages include suggestions for accessing local stores and suggestions aimed at increasing the average customer order value.

3. BMW

BMW’s AI-enhanced sports car is designed for automotive and technology enthusiasts who value monopoly and early adoption. This car is equipped with technology to learn about driving and automatically tailor the indoor experience of the system to each individual.

The car brand has also released an intelligent personal assistant that allows drivers to communicate with the car, much like a smartphone. This tool can act as a voice activation manual to predict travel routes, send alerts and integrate with other apps.

AI Tools That Will Change the Future of Marketing

AI is certainly a powerful marketing tool. What does it involve? Simply put, AI helps businesses solve one of the most important problems in today’s business: securing consumers. From the planning stage to the customer loyalty stage, AI plays a key role in the success of all marketing campaigns. As a result, organizations that take full advantage of AI will have an edge over their competitors.

  • Google Could AI
  • HubSpot
  • Atomic Research
  • Cortex
  • Bramework

Chatbots and AI almost always come together in the context of maintaining customer relations and digital marketing. WotNot enables automation and enhanced customer management for a win-win situation for both the customers and the service provider.

Conclusion

Systems that analyze billions of data points and employ machine learning are now able to recognize the optimal time and day of the week and recommended communication frequencies to contact users.

Use artificial intelligence to get the most out of your digital marketing campaigns. Confused how? WotNot’s conversational AI chatbot is here to help! Try for free today.

Machine learning and artificial intelligence cannot make marketers and advertisers unemployed. They will only raise their truly competitive games and innovative abilities. Advertisers can strategically incorporate AI-driven patterns to enhance their marketing game.

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Global NoSQL Market Report 2021 | Current Development Trends, Analysis Of Top Key …

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Posted on nosqlgooglealerts. Visit nosqlgooglealerts

NoSQL

Global NoSQL Market Study Emphasizes Key Market Trends Followed Amid The COVID-19 Pandemic

Global Coronavirus pandemic has had a huge impact on the all industries across the globe, NoSQL market being no exception. As the global economy has hit the rocks, Market Research Store has published a report on the global NoSQL market to provide the impacts of the pandemic on the NoSQL market. However, the report also clearly mentions the smart business strategies that can be adopted to sustain on the global platform. The NoSQL market report provides a detailed study of the historical and future trends that are in favor of the market growth. The report also covers vital data including financial figures, market drivers, opportunities, challenges, threats, developmental trends, and strategic planning that will influence the market growth rate over the forecast period.

Get Free Sample Report + All Related Graphs & Charts (with COVID 19 Impact Analysis)https://www.marketresearchstore.com/sample/nosql-market-785413

COVID-19 Impact Analysis:

In this report, the pre – and post-COVID impact on the market growth and development is well depicted for better understanding of the NoSQL Market based on the financial and industrial analysis. The COVID-19 pandemic has affected a number of market and Global NoSQL Market is no exception. However, the dominating players of the Global NoSQL Market are adamant to adopt new strategies and look for new funding resources to overcome the rising obstacles in the market growth.

Request Pre And Post Covid-19 Impact Analysis On Businesseshttps://www.marketresearchstore.com/sample/nosql-market-785413

This report segments the market based on types are:

Key-Value Store, Document Databases, Column Based Stores, Graph Database

Based on application, the market is segmented into:

Retail, Online gaming, IT, Social network development, Web applications management, Government, BFSI, Healthcare, Education, Others

The research report on global NoSQL market offers the future revenue figures based on the valid and well evaluated historical data. The report covers the significant overview of the global NoSQL market with regard to primary & secondary data and few of the research tools. The market data are presented in the form of bar or pie charts, graphs, tables, and other pictorial representations for gaining holistic knowledge of the NoSQL market. The NoSQL market report also further provides market growth study based on the region distribution which includes regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa as the major market attracters. The regional development status will help analyze the demand for the market across various end-use industries located in the different regions.

Report Provides Answers To The Following Questions:

•    What are the key market drivers anticipated to propel market growth?
•    Which is the key factor expected fuel Global NoSQL Market growth rate?
•    Which are the key business strategies adopted by key market players?
•    Which are the regions exhibiting rapid market growth?

Ask for a Customized Copy of this Report Here (Including COVID-19 Impact Analysis)https://www.marketresearchstore.com/sample/nosql-market-785413

Amid the COVID-19 pandemic, the NoSQL industry is experiencing a lot of changes in its distribution and production. The key players Microsoft, MongoDB, Oracle, Neo4j, MarkLogic, Basho Technologies, IBM Cloudant, RavenDB, Google, CloudDB, Redis, Amazon Web Services, MongoLab, MapR Technologies, MarkLogic, AranogoDB, DataStax, SAP, Aerospike, Couchbase, Apache have already started complying with the enforced new norms to mitigate the infection. Furthermore, the players are using new solutions and advanced technologies to play a decisive role in influencing the competitiveness of the market players.

An Overview About the Table of Contents:

•    Global NoSQL Market Overview
•    Target Audience for the NoSQL Market
•    Economic Impact on the NoSQL Market
•    Global NoSQL Market Forecast
•    Business Competition by Manufacturers
•    Production, Revenue (Value) by Region
•    Production, Revenue (Value), Price Trend by Type
•    Market Analysis by Application
•    Cost Analysis
•    Industrial Chain, Sourcing Strategy, and Downstream Buyers
•    Marketing Strategy Analysis, Distributors/Traders
•    Market Effect Factors Analysis

Reasons to purchase this report:

•    The report provides a complete analysis of country lever, regional, and global markets
•    Analysis of the historical information coupled with the present and future market trends
•    Key market strategy initiatives of the major players in the NoSQL market
•    In-depth study of the impact of frequently altering global market developments on the market

Inquire More About This Report Before Purchase @ https://www.marketresearchstore.com/inquiry/nosql-market-785413

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