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Employee Productivity Analytics: An Emerging Tech Category

In this special guest feature, Brian Berns, CEO of Knoa Software, discusses how big data solutions have the potential to uncover workflow inefficiencies, process bottlenecks and application usability issues. With employee productivity analytics, there are many benefits that are within the grasp of every enterprise.

Leveraging the Cloud to Better Mine Data in the Extreme Data Economy

In this special guest feature, Nima Negahban, CTO and Co-founder of Kinetica, observes that the demand for cloud solutions for data analytics is skyrocketing, and advanced analytics software now exists that supports both private and public cloud. No longer is it about businesses making decisions informed by data; in today’s Extreme Data Economy, data is the business.

Making Big Data Small

In this special guest feature, Gabe Batstone, Co-founder and CEO for contextere , suggests that rather than provide workers with as much data as possible, it may be better to make Big Data small. This means harnessing the power of Artificial Intelligence (AI) to generate actionable insights a worker needs in that moment to complete the task at hand. Making Big Data small, keeping it both consumable and actionable, will empower workers to be more productive, safer and have less equipment downtime.

Top Tips for Refreshing the Information Management Lifecycle

In this special guest feature, Dr. Werner Hopf, SVP Data and Document Solutions at Serrala, suggests that whatever your organization’s information management goals are, CIOs, data owners, and IT departments should consider using the following best practices to refresh your organization’s information management plan, so they are able to retain information safely and securely over its lifecycle.

Wading Through the Hype and Figuring Out How to Bring AI into your Business

In this special guest feature, Rick Nucci, CEO at Guru, provides a perspective targeted at people broadly in tech who know they need to start thinking about AI, given it’s invariably affecting their industry, but don’t know where to start. He provides expert advice on how they should go about wading through the hype and choosing an AI vendor.

A Cure for Platform Paralysis: Agile Data Science

In this special guest feature, Isaias Sudit, Founder at TROVE Predictive Data Science, proposes that an Agile Data Science platform is right for the enterprise. Agile Data Science is a collaborative process that helps clients identify the best use cases for predictive data science, i.e., those that will deliver the most value.

Why Big Data is Critical to the Pharmaceutical Industry

In this special guest feature, Inga Shugalo, a Healthcare Industry Analyst at Itransition, suggests that whether it’s an application for precision medicine, decreasing the failure rates in drug trials, or lowering the cost of research and developing better medicine, big data has a bright future for the pharmaceutical industry.

AI Used as the First Step in Automating IT

In this special guest feature, Huw Rees, Business Development at KodaCloud, discusses how applying AI to Wi-Fi is the first logical step to automating IT and indeed is the only way to realize the concept of optimization of Quality of Experience for every device connected to every access point in real time.

GDPR Challenge: Finding the Data That Needs to be Forgotten

In this special guest feature, Amnon Drori, Co-founder and CEO of Octopai, discusses how for many organizations, GDPR may be the biggest data challenge they have ever faced – but it also provides organizations with an opportunity to truly own their data. By implementing a smart system that will ensure that they are able to find the data in their systems at will, organizations will ensure that they are GDPR-compliant – and have the opportunity to utilize all their data to help their organizations run more efficiently and profitably.

Three Keys to Choosing a Data Center in the Age of AI

In this special guest feature, Steve Conner, Vice President of Solutions Engineering at Vantage Data Centers, discusses how AI is currently rewriting the rules of future computing. As AI becomes increasingly advanced, data centers must be able to adapt and scale to fit the needs of its clients.