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How to Build the Right Team for a Successful AI Project

In this special guest feature, Simran Bagga, Program Director – AI and Machine Learning at Concord Technologies, take a holistic look at ways to complete a successful AI project through building the right team. The roles on the AI team should be determined by the company’s business processes around defining and creating solutions to problems.

The Value of Data Now vs. Data Later

In this contributed article, Fluency CEO and Founder Chris Jordan discusses the inevitable extinction of Moore’s law. 90% of the world’s data has been produced over the last two years, yet companies only analyze 12% of it. With Big Data only continuing to grow, how can more innovative data storage solutions, such as the cloud, effectively respond to this level of growth?

Be More Da Vinci: Why Data Scientists Should Be Working with Designers, Futurists and Business Executives

In this special guest feature, Michael Kanazawa, EY Global Innovation Realized Leader and EY Americas Advisory Growth Strategy Leader, discusses why data scientists and engineers should be working with designers, futurists, and business executives as the way to lead the future. Failing to do so risks being consigned to the past.

83% of IT Leaders are Not Fully Satisfied with their Data Warehousing Initiatives, According to New Research from SnapLogic

New research published by SnapLogic, provider of the Intelligent Integration Platform, reveals that 83% of organizations are not fully satisfied with the performance and output of their data management and data warehousing initiatives. IT leaders cite a growing number of disconnected applications and data sources, outdated legacy systems, and slow and manual data movement as reasons for their frustration, all of which are stalling progress and costing them millions.

Big Data and Medical Research

In this contributed article, Magnolia Potter believes that the use of big data in medical research and advancement is of paramount importance. Artificial intelligence and machine learning are pioneering the ethical collection of medical data, the discovery of new drug therapies, and improved outcomes for patients. By analyzing public health concerns in real-time, big data can advance medical research in multiple fields, improve patient care, and prevent the spread of deadly diseases.

Mastering the Internet of Things with Master Data Management

In this contributed article, editorial consultant Jelani Harper discusses how many organizations have struggled to harness the IoT’s scale, size, and speedy datasets for a cogent business use case justifying investing in this expression of big data. If the principal challenge is making sense of this continually generated streaming data in real-time, the solution is unequivocally as straightforward as it is effective: Master Data Management.

Big Memory Unleashes Big (Real Time) Data

In this special guest feature, Charles Fan, CEO of MemVerge, believes that in the years ahead, the data universe will continue to expand, and the new normal will be real-time analytics and AI/ML integrated into mainstream business apps … but only if in-memory computing infrastructure can keep pace. Therefore the bottom line is that Big Memory Computing–where memory is abundant, persistent, and highly-available–will succeed to unleash Big (real-time) Data.

Truera Launches Model Intelligence Platform to Solve Machine Learning’s Black Box Problem

Truera, which provides the Model Intelligence platform, emerged from stealth to launch its technology solution that removes the “black box” surrounding Machine Learning (ML) and provides intelligence and actionable insights throughout the ML model lifecycle. The platform is already deployed at and delivering value to a number of early Fortune 100 customers in banking and insurance.

How AI Can Save Jobs in the COVID-19 Economy

In this special guest feature, Arijit Sengupta Founder & CEO of Aible, believes that the key to saving jobs in the COVID economy requires the right tool for the job, in this case, a new type of AI that blends augmented analytics and human domain knowledge. What business leaders need is an analytical tool to help them consider many possibilities quickly, execute a strategy while preserving options and react to change based on timely feedback.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 2

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.