Category: Machine Learning

February 4, 2021

Daniel Newman

Analyst Insight

4 Ways AI And ML Enhance The B2B Buyers’ Journey

Just as consumer marketing teams have found AI-driven martech to help them reach their buyers where they are, B2B marketing teams are starting to realize that AI can do similar things to enhance their business customers’ journeys.

AI, Digital Transformation, Machine Learning

January 6, 2021

Daniel Newman

Analyst Insight

Taking Control of Your Customer Data in 2021

In 2021, we’re going to see marketing teams especially focused on taking control of customer data and analytics efforts for the welfare of the enterprise. Here are some key ways teams can use data to drive better customer outcomes and business performance this year.

AI, Customer Experience, Data Analytics, Digital Transformation, Machine Learning

August 19, 2020

Shelly Kramer

Research Note

Informatica Acquires GreenBay Technologies, an AI and Machine Learning Startup

Informatica’s acquisition of GreenBay Technologies is intended to spur the company’s machine learning and AI capabilities.

AI, Digital Transformation, Machine Learning

June 25, 2020

Sarah Wallace

Research Note

HPE Announces Updates to Its GreenLake Cloud Services

HPE announces updates to its HPE GreenLake Cloud Services which include services across container management, ML operations, virtual machines, storage, compute, data protection, and networking.

Cloud, Data Protection, Hybrid Cloud, Infrastructure, and Operations, Machine Learning

June 24, 2020

Olivier Blanchard

Research Note

Qualcomm’s Robotics RB5 Platform Brings Powerful AI-enabled 5G Connectivity to Industrial Robots, Drones, and the IIOT

Qualcomm Technologies, Inc., (NASDAQ: QCOM) just announced its first-of-a-kind 5G Robotics RB5 platform. The natural successor to the successful (4G-based) Qualcomm® Robotics RB3 platform. As Qualcomm puts it, the Robotics RB5 platform aims to “empower developers and manufacturers to create the next generation of high-compute, low-power robots and drones for the consumer, enterprise, defense, industrial and professional service sectors.”

5G, AI, Automation, Digital Transformation, Machine Learning

June 24, 2020

Sarah Wallace

Research Note

HPE Turns to Containers With Its Ezmeral Software

At its virtual Discover event this week, HPE announced the launch of its kubernetes-based container software, HPE Ezmeral. This announcement shows HPE’s continued dedication to its goal of everything-as-a-service by 2022 and heats up the container wars with competitors like IBM RedHat and VMWare.

AI, Cloud, Hybrid Cloud, Infrastructure, and Operations, Machine Learning

June 1, 2020

Daniel Newman

Futurum Tech Webcast

Understanding the Ideal Human-Machine Relationship – Futurum Tech Podcast Interview Series

On this special episode of the Futurum Tech Podcast - Interview Series, host Daniel Newman is joined by Logan Wilt, AI data scientist and Applied AI Center of Excellence Garage Leader at DXC Technology to talk about using AI to approach problem solving and the human-machine relationship we are now encountering.

AI, Digital Home, Machine Learning

March 13, 2020

James Kobielus

Research Note

Superwise.ai Addresses Growing Enterprise Need for AI Model Assurance

Superwise.ai addresses a growing enterprise need for AI model assurance. That said, there are both challenges and opportunities ahead for this AI startup. Model assurance is the ability to determine whether an AI application’s machine learning (ML) models remain predictively fit for their assigned tasks. This is a critical feature of any operational AI DevOps platform, which is one of the reasons Superwise.ai caught my attention. I see both challenges and opportunities ahead for this AI startup.

AI, Machine Learning

March 12, 2020

James Kobielus

Research Note

Google’s TensorFlow Quantum Is a Key Industry Milestone in Machine Learning Acceleration

Google’s latest announcement lands in a fast-moving, but still immature, quantum computing marketplace. By extending the most popular open-source ML development framework, Google will almost certainly catalyze use of TensorFlow Quantum in a wide range of ML-related initiatives. The Google-developed quantum ML framework will find its way into a wide range of other solution providers’ quantum computing environments. So what will Google’s likely next move be in the Quantum ML space? Read on to see what I think.

Emerging Technologies, Machine Learning, Quantum Computing

March 9, 2020

James Kobielus

Research Note

NVIDIA Acquisition of SwiftStack Facilitates Cloud-to-Edge Data Management for AI and HPC

It is apparent that NVIDIA recognizes its current market-leading status in AI chipsets won’t necessary last forever. By focusing on the enterprise stack—the data center, enterprise computing, and all things related to the future of AI in the enterprise, the company plots a path forward that allows it to sustain its impressive growth record. The company’s acquisition of SwiftStack provides NVIDIA with a software-driven data storage and management platform for acceleration of deep learning, analytics, and high-performance computing applications across multiclouds.

AI, Cloud, Hybrid Cloud, Infrastructure, and Operations, Machine Learning

February 27, 2020

James Kobielus

Research Note

Algorithmia Integrates AI Model Governance with GitOps

Algorithmia integrates AI model governance with GitOps, integrating ML and code development into DevOps workflows that use Git as a source-code repository. With this announcement, Algorithmia has made it easier to use GitHub to break down the silos that traditionally have kept ML developers and application coders from integrating tightly within today’s continuous DevOps workflows.