Martha Bennett

NOVEMBER 9, 2017

The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].

Technology 93

Technology 93

Boris Evelson

NOVEMBER 9, 2017

Look right, look left, you’ll see a fellow CIO contemplating their AI move. Failing to act is not an option in most organizations. However, as enterprises are kicking off their AI pilots or seeing early results, the honeymoon is over as enterprises that naively celebrated the cure-all promises of artificial intelligence (AI) technologies is over. Enterprises needed better data foundations.

IT 85

IT Enterprise Technology Predictive Analytics 85

Smarten

NOVEMBER 7, 2017

Smart Data Discovery Will Guide Your Users Through Advanced Analytics! Your enterprise and business users do not have the time or the inclination to sift through complex data or wade through instructions to learn how to use complicated business intelligence or advanced analytics tools. They don’t want to document requirements and wait for IT or analysts to produce a report (only to find out that the data is incomplete or that the data was delivered too late to make a confident decision).

Business Intelligence 64

Business Intelligence Reporting Enterprise Analytics 64

DataRobot Blog

NOVEMBER 9, 2017

After attending this year’s HR Tech World in Amsterdam, journalist Phil Wainwright made an interesting observation about a trend amongst product companies. He explained that they’re layering in a superficial layer of artificial intelligence (AI) — e.g., an Alexa skill — into their products just to be able to claim that their product uses AI. He calls this trend “Machine Washing.”.

Machine Learning 52

Machine Learning Data-driven Sales Software 52

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

Information Builders

NOVEMBER 6, 2017

Information Builders recently joined the Hyperledger Consortium, an open source collaborative effort formed to advance cross-industry blockchain technologies. That’s a mouthful so let me unpack it for you. read more.

Technology 45

Technology IT 45

Cloudera

NOVEMBER 8, 2017

Pattern recognition. Anomaly detection. Event prediction. All of these capabilities are driven by machine learning (ML.) And recently, ML has been a hot topic among our clients. We’ve seen a steep uptick in companies highlighting their successes in ML. Cloudera offers a unified platform for analytics and machine learning. Each customer that we work with has a unique story, executing numerous uses cases, sometimes spanning multiple divisions, to gain insights that were impossible to achieve with

Machine Learning 40

Machine Learning Advertising Risk Data-driven 40

Martha Bennett

NOVEMBER 9, 2017

The visionaries will forge ahead, those hoping for immediate industry and process transformation will give up. This is the answer I usually give when asked for a one-sentence summary of how I see 2018 shaping up in the blockchain technology arena. Following blockchain technology feels a little like living in two parallel universes: One is […].

Technology 40

Technology 40

Nutanix

NOVEMBER 8, 2017

At.NEXT Nice we unveiled new developer-centric services to advance public cloud-like consumption models for enterprises. In this post, we’d like to share our perspective on bringing developers and IT closer – fostering better collaboration and increasing application agility – to produce dramatically better outcomes for the organization.

IT 20

IT Enterprise Modeling 20

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. While cloud services do provide useful resources — such as compute instances and object storage on demand — Cloudera offers the unified platform to organize, process, analyze, and store data at large scale… anywhere.

Metadata 40

Metadata Data Science Enterprise Risk 40

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

ROI