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3 Key Infrastructure Considerations for Your Big Data Operation

In this special guest feature, AJ Byers, President and CEO, ROOT Data Center, suggests that if your organization is launching or expanding a Big Data initiative, it would be wise to keep the needs of real estate, power and up-time top-of-mind. Whether your Big Data operations ultimately reside on-premises, at a colocation data center, or in the cloud, infrastructure that is flexible, scalable, sustainable and reliable is ground zero for ensuring its success.

Big Data Analytics Receive a “Spark” In the Arm

In this special guest feature, Anand Venugopal, head of StreamAnalytix at Impetus Technologies, discusses real-time streaming analytics applications and how companies can use Apache Spark for data processing and analytics functionality. Real-time data and analytics processes are the central nervous system of today’s enterprise, which makes it no surprise that the global revenue in the business intelligence (BI) and analytics software market is forecast to reach $22.8 billion by the end of 2020.

2018 Will Bring Convergence of AI and Process Automation

In this special guest feature, Alain Gentilhomme, Chief Technology Officer at Nintex, explores the top AI and process automation trends we can expect to see throughout the rest of the year. One of the most useful developments in artificial intelligence this year will be the convergence of artificial intelligence and process automation.

How Big Data and Behavior Prediction are Shaping Automotive Dealerships

In this special guest feature, Johannes Gnauck, CEO and Co-Founder of automotiveMastermind, discusses how big data and behavior prediction are shaping automotive dealerships. Through the use of big data and behavioral analytics, it’s possible to precisely target who is ready to buy and create personalized, micro-marketing campaigns designed to increase the probability of completing a sale.

Hybrid GIS Architectures: The Best of Both Worlds

In this special guest feature, Anthony Calamito, Chief Geospatial Officer at Boundless, an open GIS provider, discusses hybrid architectures (proprietary + open source software) for geographic information systems (GIS). As open source becomes more and more popular, enterprises are often perplexed by how to incorporate it into their existing systems, and this piece aims to demystify that process.

Artificial Intelligence and Machine Learning Awaken

In this special guest feature, Hal Lonas, Chief Technology Officer at Webroot, suggests that almost every software and information product and practice are thinking not “if,” but “when and how” to apply AI and ML. If they don’t, the competition will pass them up or make them irrelevant soon. There are many factors that have converged to enable this leap forward – let’s look at some of them.

5 Enterprise Challenges Best Solved by Chatbots

In this special guest feature, Andy Peart, CMO at Artificial Solutions, suggests that customer engagement is a key driver for digital transformation, yet it is a continuing struggle for many organizations. Andy looks at five ways chatbots are revolutionizing the enterprise.

How to Automate Your Data Pipeline

In this special guest feature, Taylor Barstow, CEO & Co-Founder of Bedrock Data, discusses new tools that have begun to automate how data is prepared for analytics, starting with connecting data sources. These tools address the needs of data scientists who say they view data preparation, getting their raw data ready for analysis, as the least enjoyable part of their work.

Is Your Organization Speaking the Language of AI?

In this special guest feature, Anjul Bhambhri, Vice President of Platform Engineering at Adobe, discusses three key areas to build the right foundation (data inventory, data integration and infrastructure) – which will in turn help brands build effective AI programs to enhance data-driven marketing strategies.

Why “True” Real-time Data Matters: The Risks of Processing Data-at-rest Rather than Data-in-motion

In this special guest feature, Guy Churchward, President and CEO of DataTorrent, discusses the risks around processing data at rest rather than data in motion, or “true” real-time data.