Big Data and Analytics News & Reviews - Page 6
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From Alexa to chatbots, artificial intelligence is becoming a more pervasive part of both our personal and business lives. But experts in the field, including those who have implemented AI systems, say we still have a lot to learn.
Smarty-pants bots, artificial intelligence engines and machine-learning servers are taking over. They are photographing and logging checks, researching credit scores, balancing books, monitoring and grading application performance and texting your mother to tell her that you’ve stayed up too...
While organizations plan to ramp up analytics spending, IT and business decision-makers admit that they aren’t unleashing the full potential of these solutions due to, among other factors, their technical complexities.
The company’s data management platform provides data scientists with rapid, personalized data access to improve the creation, deployment and auditability of machine learning and AI.
At the Linux Foundation's inaugural Open FinTech Forum in New York City last week, attendees got a chance to discuss the latest state of open-source adoption and the extent that open-source strategies are changing financial service businesses.
eWEEK DATA POINTS: The cloud is used by some of the most security minded organizations in the world. So why can’t we use it to streamline and strengthen the voting process? What would we need in a cloud-based voting system in order to trust it with something so important?
The biggest barrier to effective IoT implementation is lack of internal expertise and skills, according to 31 percent of respondents. Other barriers include the inability to manage and process large volumes of data (29 percent), integration issues (28 percent) and too many legacy systems (28...
We’re now confronted with a global need to make best of use of all this new, more intelligent IT; specifically, how to educate our communities on how to apply guard rails that will ensure the use of AI as both ethical and beneficial to all.
Combination of two longtime rivals expected to establish a unified Hadoop and industry standard platform that will cover data management from data center, to the cloud, to the edge and to AI.