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Big Data Project Failure Pain Points and their Solution

Big data projects don’t typically fail for a single reason, and certainly not for technology alone. A combination of factors serve to derail big data deployments. Problems and failures occur due to factors including business strategy, people, culture, inattention to analytics details or the nuances of implemented tools, all intensified by the rapid advancement of digital transformation.

Ayasdi Unveils Framework to Simplify and Speed Development of Intelligent Applications across the Enterprise

Ayasdi, a leader in machine intelligence software and a pioneer in enterprise-class intelligent applications, announced the release of Ayasdi Envision, a new framework to accelerate the creation of intelligent applications. Built on Ayasdi’s enterprise-class AI platform, the offering is the first of its kind to enable organizations to quickly create and consume intelligent applications that are purpose-built to solve a broad array of real-world business problems.

Implementing AI: When and How?

In this special guest feature, Venkat Viswanathan, Founder and Chairman of LatentView, discusses how organizations determine when artificial intelligence (AI) should be utilized to amplify human intelligence.

Cray Powers Breakthrough Discoveries with Urika-XC – Delivering Analytics and AI at Supercomputing Scale

Global supercomputer leader Cray Inc. (Nasdaq: CRAY) announced the launch of the Cray® Urika®-XC analytics software suite, bringing graph analytics, deep learning, and robust big data analytics tools to the Company’s flagship line of Cray XC™ supercomputers. The Cray Urika-XC analytics software suite empowers data scientists to make breakthrough discoveries previously hidden within massive data sets, and achieve faster time-to-insight while leveraging the scale and performance of Cray XC supercomputers.

How San Francisco Company Index Is Transforming Offline Sales with Big Data

In this contributed article, technology writer and blogger Kayla Matthews discusses how the rise of big data has already blurred the lines between online retailers and brick-and-mortar storefronts. While many continue to pour their resources into e-commerce, those who would prefer to stick with tradition are finding it increasingly harder to do so.

Building a Machine Learning Platform at Quora

In this MLconf SF 2016 talk “Building a Machine Learning Platform at Quora,” Nikhil Garg, Engineering Manager at Quora, discusses the core ideas behind his company’s machine learning platform, as well as some of the specific systems, tools, and abstractions that have enabled the company to scale their approach to machine learning.

Snowflake Announces Another World-First – The Data Sharehouse™

Snowflake Computing, the data warehouse built for the cloud, announced its newest and most transformative innovation, extending the modern data warehouse to the world’s first data sharehouse. Snowflake continues to deliver on its founding vision of removing all technology barriers that prevent enterprises from acquiring complete insight from any and all available data.

How Enterprises Can Finally Capitalize on Machine Learning

In this special guest feature, Dr. Michael Zeller, SVP, AI Strategy & Innovation at Software AG, discusses how enterprises have reached a pivotal moment for operationalizing machine learning. For a while now artificial intelligence has been over hyped, its benefits over promised and, in the end, it always under-delivered. Now the hype is back stronger than ever. For AI to not fade away again, however, it needs to be made actionable.

Creating a Data-Based and Client-Focused Culture

In the world of social media, increasingly quick-moving communication amid rapidly growing data, a company’s culture defines its reputation, and its reputation often defines its success – or failure. Clarity Insights shares how companies can create a data-based and client-focused culture from the top down.

The Future of Federal Agency Data Access, Integration, Sharing and Security

In this special guest feature, Gavin Robertson, CTO and SVP of WhamTech, discusses the future technology of data federation and protection within federal agencies. These new technologies could have a profound positive impact on the effectiveness and efficiency of future government programs. The benefits will be significant, including cost savings, accelerated implementations, improved and new capabilities, leveraged existing IT investments, improved data security, flexible future options and increased stakeholder satisfaction.