IBM Big Data Hub
MAY 22, 2018
To accelerate its journey to AI, a data-driven organization needs a trusted data foundation that empowers information stakeholders. Stakeholders need the ability to discover, understand, integrate, analyze, govern and self-serve structured and unstructured data — on premises, on cloud, and hybrid — at any scale.
Perceptual Edge
MAY 22, 2018
I received an email a few days ago from the founder and CEO of a new analytics software company that led to an interesting revelation. In his email, this fellow thanked me for sharing my insights regarding data visualization and shared that he has acquired several of my books, which are “nearing the top” of his queue. He went on to provide a link to his website where I could see his attempts to incorporate visual analytics into his product.
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DMBS2
MAY 20, 2018
The tech industry has a broad range of political concerns. While I may complain that things have been a bit predictable in other respects, politics is having real and new(ish) technical consequences. In some cases, existing technology is clearly adequate to meet regulators’ and customers’ demands. Other needs look more like open research challenges. 1.
CIO Business Intelligence
MAY 24, 2018
Competing in the business world today is all about knowing your customers. Consumers have come to expect personalized service and a satisfying experience, and anything less from the brands they interact with might cause them to take their business elsewhere. Many organizations in a variety of industries struggle to access the customer data they need to provide personalized and contextual experiences across all touchpoints.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
IBM Big Data Hub
MAY 21, 2018
Hear from IBM's Dinesh Nirmal on his thoughts on AI and the potential for widespread adoption as IBM puts its weight behind enterprise data science.
ScienceSoft
MAY 22, 2018
ScienceSoft answers burning questions about big data lake design and implementation. We look at different approaches to its architecture and contemplate if there exists a preferred technology among the available stack.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
MAY 22, 2018
Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects.
IBM Big Data Hub
MAY 22, 2018
Rather than worry about your future performance, work to be the best today. The rest will follow. Seize the opportunity to respond to customers in the moment, rather than react too late. That way, everyone benefits.
DataRobot Blog
MAY 25, 2018
by Jen Underwood. Earlier this month without nearly the grandiose fanfare or market madness of Gartner Magic Quadrant releases, the Gartner Critical Capabilities for Analytics and Business Intelligence Platforms Report 2018 was quietly. Read More.
Nutanix
MAY 21, 2018
NEXT… What an experience in one of the best cities in the US! I was fortunate enough to lead the.heart program at.NEXT NOLA where we encouraged attendees to “share your.heart.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Cloudera
MAY 22, 2018
Why Enterprises Need to Unify ML, Analytics, and Cloud. Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. While organizations are moving more workloads to the cloud, many mission-critical workloads remain on-prem. End users, data stewards, governance groups, and security groups alike can easily get overwhelmed with multiple access points, inconsistent user interfaces,
Smarten
MAY 24, 2018
ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India. ElegantJ BI is proud to be a Silver Sponsor at this important event. ElegantJ BI CEO, Kartik Patel says, “We look forward to demonstrating our Smarten analytics software solution, and to seeing new and familiar faces, as we welcome analytics experts an
Cloudera
MAY 22, 2018
It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. The premise was simple: make it quicker and easier for customers to drive data to their machine learning and analytics services by leveraging cloud resources, while at the same time, eliminating the pain associated with managing datacenter or cloud infrastructure.
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