What's New in IBM Predictive Analytics

IBM

IBM is taking predictive everywhere, making it more accessible, more capable, and speeding time to value. New capabilities are expanding the kind of analysis that can be done, opening the door to new users, and helping make the vision of “Predictive Everywhere” – a reality. Join this live webinar to hear first-hand how you can: Solve complex business problems with optimization with the latest toolkit for mathematical and constraint programming. Integrate predictive and prescriptive analytics to transform insights into targeted planning and scheduling, supply chain and asset utilization actions that generate competitive advantage. Leverage the cloud for deployment, extensibility and scale through the latest cloud offerings and community assets.
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Spotlight

Data Dimensions features leading Capgemini experts each adding their own dimension to the discussion around big data. Perspectives include defining big data, good governance in a big data world, finding the value behind the big data hype, and what building blocks organizations will need to set in place to make it work for them. It looks at the people aspects, the skills you need the move towards data driven decision making, digital transformation and the impact on the customer experience. Big data typically is very specific to industry so although there are common technologies and some common information sets ultimately each industry sector has many different new data sources and different business issues. Therefore a key part of this series is looking at how big data is affecting sectors and the associated opportunities it presents.


OTHER ON-DEMAND WEBINARS

Predictive Maintenance, Big Data, and IOT

Pentaho

The Industrial Internet of Things (IIoT) market is growing fast and is expected to reach $500 billion by 2020. At the heart of IIoT is predictive maintenance, which focuses on reducing maintenance costs and eliminating potential and unexpected machine failures, while automating operations to boost revenue.Watch this predictive maintenance webinar with Bernard Marr, best-selling author of the book Big Data in Practice, and James Stascavage, Intelligence Technology Manager at Caterpillar Marine. They share several fascinating examples of companies (including Caterpillar) who have improved operational efficiency and overall ROI by taking advantage of big data generated from the internet of things. You also get insights into the following questions:
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Co-sponsored by Dataguise-Caserta Concepts: Big Data Governance & Compliance

Today, the challenges of governing, managing and protecting Big Data in Hadoop are enormous. Big Data requires the convergence of data quality, data management, data engineering and business policies. It also requires an intelligent, data-centric approach to discover and protect data that achieves high performance, while being highly automated in Hadoop…
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Emerging Trends in Data Architecture – What’s the Next Big Thing?

Global Data Strategy

With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY® survey on Emerging Trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
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Modernizing the Legacy Data Warehouse – What, Why, and How

cloudera

The Eckerson Group's Dave Wells and Cloudera's Eva Nahiri share the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
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Spotlight

Data Dimensions features leading Capgemini experts each adding their own dimension to the discussion around big data. Perspectives include defining big data, good governance in a big data world, finding the value behind the big data hype, and what building blocks organizations will need to set in place to make it work for them. It looks at the people aspects, the skills you need the move towards data driven decision making, digital transformation and the impact on the customer experience. Big data typically is very specific to industry so although there are common technologies and some common information sets ultimately each industry sector has many different new data sources and different business issues. Therefore a key part of this series is looking at how big data is affecting sectors and the associated opportunities it presents.

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