IBM is a Leader in the Forrester Wave™ – Big Data Hadoop Cloud Solutions, Q2 2016

Do you want to do Hadoop in the cloud? Explore the The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016 report to understand how to evaluate Hadoop cloud solution vendors across 37-criteria.

The report explains the benefits for Hadoop cloud deployments including economizing the analysis of more data using cheaper infrastructure, enabling faster advanced analytics, scaling to unlimited resources in minutes, providing a self-service analytics platform, and simplifying big data deployment. Come away armed with how to evaluate IBM BigInsights on Cloud and other vendors across several dimensions including current offering, strategy and market presence. The Forrester Wave™: Big Data Hadoop Cloud Solutions, Q2 2016 report details how elasticity, automation and pay-as-you-go features are driving enterprise adoption of Hadoop in the cloud.

IBM differentiates BigInsights with end-to-end advanced analytics, and also has among the highest scores in the Cloud Platform Integration, data security, data management, partnerships and solution configuration criteria. Learn more about how to get started with Hadoop in the cloud with IBM.

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Mobile Security from Platform to Device: What you Need to Know Now

By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications.

Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.

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Mobility, Cloud, and the Enterprise: Mobile Application Strategies for Today

By next year over half of all US companies will formally support BYOD, bringing on the challenge of securing data and applications on devices that may often be in the hands malicious users, or worse – teenagers looking to win a game of Pokémon Go with mom’s work iPhone. And, thanks to the consumerization of IT, mobile users increasingly expect the same smooth user experience with business applications that is provided by popular games and consumer applications.

Fortunately, increased mobility and the bring your own device explosion don’t always add up to increased security challenges and UI/UX struggles. This Tech Byte series will look at the most important considerations when planning a mobile strategy – from application development platform to security and governance to user interface guidelines, and present best practices that businesses of all kinds can use to help ensure a successful shift towards a mobile-first enterprise.

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Middleware for the Modern Age: Tools for Making Cloud and On-Premises Systems Work Together

If you’re an executive responsible for delivering line-of business solutions to market, then you understand the challenges. Whether they take the form of code delays due to API creation, deployment bottlenecks, or challenges around rapid scaling to meet demand, all the weight is on your shoulders.

Fortunately, there are solutions that can help. In this white paper you’ll:

  • Learn about managing “two-speed IT” and how you can use DevOps strategies to help your developers get far more rapid-turnaround through continuous test and deployment
  • Explore how you can build apps that meet your customers’ needs quickly using “right-fit runtime,” and how you can define and develop APIs with tools to help you manage API traffic and security
  • Discover how your operations teams can reduce their workload, increase their productivity, and boost user satisfaction through the power of patterns and self-service IT.

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Analytics and Business Intelligence: Achieving User-Driven Results

Businesses are wallowing in data from an increasing number of sources – both internal and external. However, turning data into actionable information becomes harder as both IT and business users try to keep up with the data deluge.

This Battlecard looks at the evolution in analytics and business intelligence solutions today, especially the bifurcation into Traditional BI vs. Exploratory Analytics, why BOTH are important, and lists three key factors that users – both business and IT – must consider when evaluating a BI solution.

Key points will include:

  • How User Experience Matters
  • BI and Hybrid IT: Cloud, On-Premises and Both
  • Supporting Self-Service: The Data Scientist in the Software

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Five Database Must-Haves for Meeting Evolving Needs

By 2017, 80% of enterprises will have adopted a hybrid IT strategy composed of public cloud, on-premises and private cloud components. In an increasingly “cloud-first” era, agile, scalable infrastructure matters more than ever.

This Battlecard looks at the changing nature of business, the growing importance of data to all parts of the enterprise, and offers five key considerations when evaluating database options for tomorrow’s enterprise.

Key points will include

  • Supporting Next-Generation Applications
  • Big Data and the Enterprise
  • What Hybrid means to the database
  • The Economics of Cloud
  • Security and the Database

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Easily deploy and move enterprise applications in the cloud

The pace of business is accelerating. Mobile and social trends have influenced client engagement models, driving customers to expect new and better application services delivered faster. IBM cloud technology is helping businesses respond to these drivers by changing the status quo, enabling business leaders to fast-track innovation and advance key priorities.

To achieve these results, organizations need to rapidly exploit cloud capabilities across a hybrid environment that includes both on-premises and off-premises options. The IBM PureApplication solution portfolio helps deliver these capabilities quickly and easily.

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Putting Watson Developer Cloud to Work: News Inc.

A new generation of API provider is packing the power of PhD-grade science, natural language processing, deep learning, image recognition and the semantic Web into something as simple as a basic RESTful API call. This makes it possible for organizations of all types and sizes to benefit from the experience, expertise and intelligence of a team of PhDs—without having to actually find and employ them. How is this all possible? In this case study from ProgrammableWeb, you can see the source code behind one company’s API implementation.
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Putting Watson Developer Cloud to Work: News Inc.

A new generation of API provider is packing the power of PhD-grade science, natural language processing, deep learning, image recognition and the semantic Web into something as simple as a basic RESTful API call. This makes it possible for organizations of all types and sizes to benefit from the experience, expertise and intelligence of a team of PhDs—without having to actually find and employ them. How is this all possible? In this case study from ProgrammableWeb, you can see the source code behind one company’s API implementation.
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Rethinking Recovery for Distributed and Cloud Databases: A Versioned Database Future

Databases are essential tools for applications and much effort has been spent on managing and protecting them accordingly for the lifecycle of the data. The innovative new distributed approaches in database design have brought many advantages for enterprises in terms of agility and onboarding newer applications.

However, to unlock enterprise value from their data, organizations must also be sure that the data can be managed and recovered over its lifecycle. It is imperative that businesses fill these data recovery gaps to benefit from the best of both worlds and to scale their adoption across the enterprise and for their core applications.
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