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Intel IT Serves Up Innovative Applications of AI, Analytics and Collaboration

One telling sign that AI industry leading companies truly believe in the technologies they promoting across the globe is how much they’re using these same technologies internally. An excellent case-in-point is Intel IT, the IT services arm of giant Intel Corp.

When it Comes to ML/AI, One Size Does Not Fit All

In this special guest feature, David Winikoff, Senior Director, SteelCentral Product Management at Riverbed Technology, believes that as AI and Machine Learning go from hype to reality, organizations must be cautious in adopting too quickly, as one size does not fit all. Here’s why – data fuels the AI and Machine Learning engine to produce insights and information, and how an organization collects that data will determine its ability to gain actionable and valuable insights and predictive outcomes. As a result, organizations must very carefully select technologies and partners that best meet their specific needs to take full advantage of the opportunities AI and ML offer.

If Data is the New Oil, We’re About to Bust

In this contributed article, Tracy Malingo, Senior VP of Product Strategy at Verint Intelligent Self-Service, a division of Verint, discusses how data certainly has the promise of becoming the next major industry, and with AI as its vehicle, the future seems just as lucrative and legendary as the rise of “Big Oil.” But we need to know how to utilize it. Otherwise we’ll bust before we even have the chance to boom.

Prepare for Production AI with the HPE AI Data Node

In this video from GTC 2019 in San Jose, Harvey Skinner, Distinguished Technologist, discusses the advent of production AI and how the HPE AI Data Node offers a building block for AI storage. Commercial enterprises have been investigating and exploring how AI can improve their business. Now they’re ready to move from investigation into production. […]

Infographic: AI – The Secret to Sustainable Commerce

Artificial intelligence has the ability to streamline business operations by analyzing vast amounts of data to target inefficiencies in the system. The infographic below, courtesy of Noodle.ai, outlines how AI can streamline the supply chain and lead to a more sustainable business and happier customers.

How Big Data, AI and Biometrics Are Building Trust in the Sharing Economy

In this special guest feature, Labhesh Patel, CTO & Chief Scientist at Jumio, discusses how big data and digital identity will power businesses in the sharing economy in the future. The article looks at the massive amounts of data being collected from government-issued IDs (driver’s licenses, passports, etc.) and photos individuals take to verify they actually are who they say they are, and how AI and big data analytics can help these companies create a more frictionless experience and build trust that fraudsters are being kept at bay. Trust is the most important currency in the sharing economy, and big data, AI and identity verification will enable companies to retain it.

3 Non-Obvious Keys to Being AI-Ready

Data scientists know what they are doing, and most organizations have no cause to worry about the soundness of their machine learning (ML) algorithms. Where AI readiness typically lags is in other parts of the process. In most organizations today, the process of building, deploying and maintaining AI systems bears no resemblance to traditional IT. Alegion explores three key strategies your business can employ to be AI-ready.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

How AI and Big Data will Transform Banking in 2019

In this special guest feature, Hiral Atha, Founder and CEO of MoveoApps, a mobile apps development agency, believes that with everything from your refrigerator to your car going smart, banking and financial services cannot afford to lag. Before this decade ends, AI and big data will be making radical changes to the way banks serve their customers.

The insideBIGDATA IMPACT 50 List for Q2 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!