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Mobile Monitoring Solutions

Mobile Monitoring Solutions

Enabling businesses to Succeed in the Data economy!

Monetize

Monetize your data through data disruption, data sharing, data ops machine learning, and data lakes.

Manage

Manage your Big data platforms thru platform modernization and governance.

Migrate

Monetize your data through data disruption, data sharing, data ops machine learning, and data lakes.

Here’s What We Know About The Data

Recommendation Systems

How is this data handled? What data pipelines and aggregations are the source of your training data?Can this process be reproduced if needed for compliance...

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How is this data handled? What data pipelines and aggregations are the source of your training data?Can this process be reproduced if needed for compliance reasons? Let us help you with identifying processes and bring them up to best practice standards. In addition, auditing and compliance issues will become more critical as AI and Machine Learning processes become an important part of business processes and will attract the attention of Internal Auditors.The AICPA has yet to issue audit standards for AI and Machine Learning processes. However, this will become an emerging issue in the auditing of Financial Statements.

Evidence based reasoning

Software solution that obtains answers and predicts questions from searching text in any form and determining an outcome and/or solution based on inference, logic...

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Software solution that obtains answers and predicts questions from searching text in any form and determining an outcome and/or solution based on inference, logic, analysis, evidence, and data mining existing knowledge in text form. This is Machine Learning’s first step into human reasoning, inference, and deduction. Databases like Neo4j can assist in creating relationships within raw text and assist in inferring and making logical conclusions.

Robotic Automation

The process of automating the handling of the data, extraction, transformation, and merging. In short, reducing the amount of effort in handling the data and actually...

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The process of automating the handling of the data, extraction, transformation, and merging. In short, reducing the amount of effort in handling the data and actually using it. This is mainly achieved thru scripts that automate many manual processes that currently exist in handling, manipulating, and converting data.. Database platforms like Cassandra and Mongodb can assist in manipulating data at scale with interfaces such as Python.

Deep Learning

Software learning from large structured and un-structured data sets (Big Data) using networks such as nueral networks to recognize relevant data characteristics...

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Software learning from large structured and un-structured data sets (Big Data) using networks such as nueral networks to recognize relevant data characteristics, situations, and determining dataset features not readily seen under normal computing and making sense of these features.. Spark data processing engine can assist in escalating this process to an almost real-time analysis and decision making in modern business scenarios. Autonomous driving is a good example of deep learning.

Language Generation

Natural language processing is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between...

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Natural language processing is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. - Wikipedia definition Natural Language Generation generates facts from data. For example, analyze financial data and convert it into information. A basic task that is currently handled by humans in many organizations.

Text Analysis

The data mining of unstructured data and convert it into information a machine or human can analyze. Products such as Mongodb can provide a scalable structured...

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The data mining of unstructured data and convert it into information a machine or human can analyze. Products such as Mongodb can provide a scalable structured and unstructured data repository that software can consume and analyze.

Statistical Machine Learning

Using traditional statistical analytics like clustering that are used to discover trends in data in real-time and at massive data scale. This allows organizations to truly make...

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Using traditional statistical analytics like clustering that are used to discover trends in data in real-time and at massive data scale. This allows organizations to truly make decisions in real-time to compete on a global scale. Products like Hadoop and Mongodb provide the data infrastructure to feed statistical data models.

Chat Conversations

Software that interacts with people via text or voice. Alexa is an example of this technology. These interfaces can be response models as well as knowledge based models that interact...

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Software that interacts with people via text or voice. Alexa is an example of this technology. These interfaces can be response models as well as knowledge based models that interact with humans and provide information and solutions. Mongodb can provide the data interface for this technology.

Treating Machine Learning Data as Source Code

Treating Machine Learning Data as Source Code

Database engineers and administrators for years have been focusing on backing up and restoring data on a singular point...

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“Snowflake is one of the newest and most innovative cloud-based data warehouse solutions on the market today.”

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