In this contributed article, tech writer Linda Gimmeson take a close look at the potential growth of big data analytics and the top 4 industries that may benefit from it.
Maana, announced the newest capabilities of the Maana Knowledge Platform. These advancements help Fortune 500 companies increase profitability by accelerating knowledge discovery for asset and process optimization.
I recently caught up with Kristoffer Lundegren, CEO of Starcounter, to get an overview of his company, a producer of an in-memory database platform that understands the value of AI for the future of real-time computing.
Exabeam 3.0 Delivers Advanced System Architecture to Detect and Respond to Non-Human Insider Threats
Exabeam, a leader in user and entity behavior analytics (UEBA) for security, announced Exabeam 3.0 with a new elastic architecture for analyzing human and non-human behavioral risk.
I recently caught up with Jim McHugh, GM of the Deep Learning Group for NVIDIA, from the floor of Strata + Hadoop World 2016 NYC to discuss analytics, the overall AI evolution and how there’s a lot of synergy between the two.
In this contributed article, Ben Tai, Founder and CEO of DrivenBI talks about how his company provides a BI tool for business users that doesn’t require programming or a data warehouse.
In this special technology white paper, Predictive maintenance: How Data Can Increase Production, you’ll learn why predictive maintenance has become the holy grail for manufacturers trying to predict equipment maintenance needs just in time, thus ensuring that neither breakdowns nor maintenance will slow down production.
In this special guest feature, Steven Wastie, CMO at Origami Logic, offers four, actionable tips for bringing your data to life and extracting additional value from your marketing activations.
Whether you’re upgrading your current solution or rolling out a brand new platform, planning and executing an analytics workload today requires answering many tough questions.
This eBook from O’Reilly shares:
• How to choose between a data lake or analysis on the fly
• Tips on finding front-end tools that delight users
• Evaluations of hundreds of permutations of technology stacks
• Advice on how to make data your endgame, not opinion
Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment.
You have a lot of data in Hadoop and you’re looking to analyze it. You don’t have to continue bumping up against the limits of the database you’re moving the data into—or how much of it you can afford to use. This whitepaper addresses how you can leverage the power of the cluster you already have in place, expanding and accelerating what you can do while saving you time and money. This is a big deal, it meets a huge demand, it shows how rapidly the technologies have evolved and it delivers on one of the most significant unmet promises of big data analytics.