Sign up for our newsletter and get the latest big data news and analysis.

The Speed of Data: A Survey of Data Decision Makers

Streamlio, the intelligent platform for fast data, announced results of a new “Speed of Data” survey conducted with Dimensional Research. The survey of hundreds of corporate decision makers worldwide found near universal agreement about the criticality of faster data processing, along with a huge gap between where companies need to be and where they are today.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2018

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.

2018 Executive Round Up: The Rise of AI and Machine Learning

Welcome to our 2018 insideBIGDATA Executive Round Up, a quarterly feature showcasing the insights of thought leaders on the state of big data, data science, machine learning, AI and deep learning, and where these trending technologies are headed. Weighing in with their thought-leadership predictions are some of the industry’s biggest players. We’re honored to pass along these comments to our valued audience.

New Study Reveals Enterprises Risk Missing Out on 547% ROI on Data Initiatives

Our friends over at SnapLogic, a leader in self-service application and data integration, released “The 2018 Data Value Report,” a new study that reveals enterprises expect to generate a 547% return on their data investments, increasing revenue by an average $5.2 million as a result of using data more effectively. However, businesses have only scratched the surface in realizing data’s potential: On average, organizations are using only half (51%) the data they collect or generate, and data drives less than half (48%) of decisions.

Best of insideBIGDATA Technology Guides

Over the years since I became Managing Editor for insideBIGDATA, we’ve had some amazing partner firms contract with us to write custom technology guides, white papers, and advertorials. In many cases, I authored the materials myself and had a great time working on the project and getting to know the client subject matter experts. These resources consistently rank high every month in our vast library of content. In this article I wanted to provide an easy access list of the top 10 white papers of all time. The themes cut across the most popular in the big data industry. Enjoy!

Movies, Neural Networks Boost AI Language Skills

When we discuss about artificial intelligence (AI), how are machines learning? What kinds of projects feed into greater understanding? For our friends over at IBM, one surprising answer is movies. To build smarter AI systems, IBM researchers are using movie plots and neural networks to explore new ways of enhancing the language understanding capabilities of AI models.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2018

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.

The insideBIGDATA IMPACT 50 List for Q3 2018

The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe. We’re in close contact with a great many 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!

AI for Pharma R&D – Creating Anti-cancer Drugs Faster, Reducing Process from Years to Days

The costs and process of developing anti-cancer drugs has been an extreme challenge for decades. Today one company, AccutarBio, is harnessing the power of AI to accelerate drug discovery and reform the current “hit-to-lead” drug discovery scheme. The company recently received $15 million in funding (including money from Chinese AI/facial recognition company YITU) and is now partnering with Amgen.

Advancements in Dynamic and Efficient Deep Learning Systems

We’re seeing much hype in the marketplace about the potential of AI, especially with respect to computer vision systems and its ability accelerate the development of everything from self-driving cars to autonomous robots. To create more dynamic and efficient deep learning systems, that don’t compromise accuracy, IBM Research is exploring new and novel computer vision techniques from both a hardware and software angle.