Big Data and Machine Learning in 2017

Big Data and Machine Learning in 2017

Big Data Predictions for 2017: The Democratization of Data

At the end of 2016, insideBIGDATA conducted an informal poll of its members to gain insights into what 2017 might hold for Big Data and Machine Learning. There was resounding optimism from vendors and end users, with some consistent themes related to greater empowerment of users to gain access and insights from data, and an increasing role for artificial intelligence to automate lower-level tasks while adding value to the analysis of data.

We’re excited and encouraged by these predictions at Artsyl Technologies. Our docAlpha Smart Process Platform has a role to play in this evolution, by helping organizations to transform unstructured data like digital and scanned paper documents into data that can be leveraged to automate a business process, or to provide real time access to data that can have a significant impact on business strategies and decisions.

At the same time, the ability to automate lower-level, routine tasks while aiding knowledge workers with the analysis of data and trends, is part of our vision for docAlpha. The same philosophy and approach that is leading to wider adoption of AI will allow docAlpha to continue to adapt to any business process, any document type or data source, and interact with any business system to drive greater efficiency, transparency and control.

Drawing from the insights of the insideBIGDATA community, here are the top three trends that will allow companies of all sizes to derive more value and insight from their documents and data to improve processes and optimize their businesses.

#1: Big Data expands beyond big companies

The advent of big data analytics and discovery for the SMB market is one trend predicted by the insideBIGDATE community.

“Big, rich, data environments such as pharma, healthcare, life sciences, financial services, insurance are the current industries leading big data analytics but graph-based databases can also be used by small companies, where you don’t want to spend your time coding and recoding every time you change your mind about what it is you want to look for,” said Chuck Pieper, CEO, Cambridge Semantics.

#2: IT Empowers Users to Manage Big Data

Now that organizations have realized the value of big data, IT and data teams have been flooded with requests from users to pull data. That’s leading to a self-service data model, so that anyone in the company can pull data to uncover new insights and make better business decisions. This is part of a broader trend of putting the power in the hands of users, as a result of better user interfaces and experiences and a more adaptable approach to solution development.

“A self-service infrastructure allows any employee to easily access and analyze data, saving IT and data teams precious time and resources,” said Ashish Thusoo, CEO, Qubole. “To make this a reality, all types of data in every department will need to be published so that users can self-serve.

Successful User Interfaces (UI’s) are simple and flexible and modify to the needs of a variety of users and any changes to fluid data sets, said Dave Bethers, Chief Operations Officer, TCN. “Just as other technologies have evolved, BI is evolving to be more accessible than ever to today’s business. This will only continue in the future.

#3: Artificial Intelligence will Evolve from Task Automation to Analysis

Through 2016, AI was applied to solve known problems and handle routine tasks. 2017 may signal the evolution of AI to encompass gaining greater insights into ongoing problems for which there wasn’t even any awareness.

“2017 will be the year of knowledge-based AI, as we develop systems based on knowledge, which learn and retain knowledge of prior tasks, rather than pure automation of tasks we want performed,” said Abdul Razack, SVP & Head of Platforms, Big Data and Analytics, Infosys. “This will completely disrupt the way we work as human capabilities are amplified by machines that learn, remember and inform.”

To learn more about leveraging smart process platforms, big data and best practices and technologies to automate your business processes and make them more intelligent, contact your Artsyl Technologies account executive.


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