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Managing the Threat Above—How AI Can Streamline Cloud Computing with Burgeoning Data Growth

In this special guest feature, Tyrone Pike, President & CEO of FileShadow, Inc., observes that the number of files transferred daily makes it extremely difficult to manage manually, but AI is improving cloud technology to handle the influx. Applying AI to cloud storage enables users to gather, analyze, catalog and protect more data than ever before.

How Significant Should AI’s Role In Cybersecurity Be?

In this special guest feature, Max Emelianov, CEO for HostForWeb, takes a look at how significant should AI’s role In cybersecurity be? Cybersecurity is immeasurably more complex than it used to be – so much so that there are many who suggest humans are no longer up to the task of handling it. AI, they argue, is a far better candidate. But are they putting too much stock in machine learning and automation?

The Five Building Blocks to High Confidence Decision Making in the Digital Age

In this special guest feature, Naresh Agarwal, Head of Data & Analytics at Brillio, outlines useful building blocks to understand how to analyze the right data to make impactful action, including: the use of technology and skill sets; asking the right questions; building a culture and mindset that encourages the use of insights to promote high confidence decision-making.

AI is About to Change Your Messaging Experience Forever – Are You Ready?

In this special guest feature, By Patrick Perrin, PhD, Chief Scientist, Head of AI and Research at Emogi, discusses how AI is stepping in with respect to text communications by actively detecting subtleties to connect words with feelings; and ultimately, strengthen emotional connections.

Coding the Cure for Cancer

In this special guest feature, Emily Walsh, the Community Outreach Director for the Mesothelioma Cancer Alliance, discusses how artificial intelligence is helping to detect cancers as well as the role AI is playing in the processing and sorting of data collected by cancer researchers.

“Alexa, Call the Statistician!”

In this special guest feature, Julia Brickell, Executive Managing Director and General Counsel at, H5, believes that the legal profession is on a collision course with artificial intelligence, given AI’s massive potential to disrupt how the law is practiced, and its extraordinary growth. AI’s ability to transform electronic discovery, draw up contracts, analyze judicial bias, and predict legal outcomes has many in the profession calling for the development of standards around how AI is used.

How Big Data Is Transforming the Legal Industry

In this special guest feature, Jennifer Roberts, Data Scientist at Intapp, observes how many industries have, by and large, figured big data out. Retail, manufacturing and financial services are just a few of them. Legal will figure it out, too. That day is coming, but not fast enough for most firms and their clients.

The Power of Data Is Stuck In Silos

In this special guest feature, Geoff Tudor, VP and GM of Cloud Services at Panzura, discusses how data is rapidly spreading across the enterprise, and data islands are forming and living in silos among separate infrastructures and sites. This has caused a major roadblock to business leaders who want to quickly find and mobilize their data, and are left emptying their pockets and drowning in funds to find a solution.

3 Ways AI Will Drive the Future of Travel

In this special guest feature, Levi Brackman, Principal Data Scientist at Travelport, talks about the impact of artificial intelligence on consumer shopping behaviors, and provides three ways AI will eventually drive the travel booking experience: first, recognize consumers’ dependence on their own AI within their devices; second, increasing data will lead to compounding intelligence; third, powerful AI capabilities are required to compete in reaching the AI-dependent consumer.

Why Your AI Workflow Needs Software-based Secondary Storage

In this special guest feature, Geoff Bourgeois, Co-founder and CEO of HubStor, discusses how one of the chief obstacles to executing AI is managing massive volumes of unstructured data. The trick is keeping this data intact to your AI/ML infrastructure without adding silos and layers of complexity. Secondary, scale-out, and cloud storage components are essential to large-scale AI projects, but they shouldn’t be independent silos that make it challenging to tier and recall data sets as needed.