June 22, 2022

Unlocking the potential of AI Solutions @ Discover 2022

Artificial Intelligence (AI) defines the future of every industry and business service at all levels. The competitiveness in the market is forcing many Enterprises towards the introduction and acceleration of AI. However, an AI transformation is a complex journey. Moving towards a data-centric approach can be challenging from a cultural, technical, and operational perspective.

AI Solutions help with many of the challenges by introducing a well-defined ecosystem. The ecosystem has all the ingredients to accelerate the AI journey and achieve the goals of both data scientists and business leaders.

March 27, 2022

AI Adoption in the Enterprise

Not all enterprises have reached the same Artificial Intelligence (AI) maturity level. The group consisting of large enterprises are the early adopters of the technology. They have mature AI strategies and show significant synergies …

December 6, 2021

Democratization of AI in the Enterprise

The democratization of Artificial Intelligence (AI) makes it easier for organizations to transform their business with AI. It wasn’t that long ago that applying AI to transform a business required a lot of technical expertise and hiring resources from a scarce talent pool…

June 15, 2021

What makes HPE servers with the latest Intel Xeon platform ideal for AI workloads?

On April 6th, 2021, Intel announced a new Xeon platform as the “only data-center processor with Built-in AI acceleration”. It will bring Artificial Intelligence (AI) everywhere, from the Edge to the Cloud. This blog looks at the announcement from an AI perspective focusing on the new HPE servers with the 3rd Gen Intel Xeon scalable processor.

The same day HPE released its upgraded portfolio of servers, enabling the latest Intel platform’s new and improved AI capabilities.

March 23, 2021

Conversational AI with Transfer Learning

I recently joined Stephen Foskett from Gestalt IT on a video podcast to discuss “Improving AI with Transfer Learning”.

Transfer Learning is becoming a key driver for ML, and its economic value is snowballing. Enterprises can benefit from quickly extending existing pre-trained models with improved performance. On the other hand, enterprises with little experience can benefit from bootstrapping their ML projects with Transfer Learning.

In this article, we discuss the impact of Transfer Learning on the advancements in Conversational AI.

December 8, 2020

Virtual Automotive Assistants

We recently designed and deployed an Artificial Intelligence (AI) solution for an automotive customer based on our many years of experience building sizeable High-Performance Computing (HPC) clusters for AI.

The proposed data-centric architecture heavily relied on an innovative storage solution from Weka, an HPE partner.

The customer was looking for a hybrid solution that would allow them to run on-premises and take advantage of the public cloud for peak capacity and future growth. As such, the overall design can run workloads on-premises or in a public cloud-based on customer-driven policies.

September 22, 2020

AI: Living on the Edge

Edge Computing is a distributed architecture that delivers compute and data storage closer to the location where the data collection happens with near real-time response times and low bandwidth requirements.

Edge Computing and AI are playing an essential role in today’s digital transformation of the consumer and enterprise markets. Edge AI (EA) or Edge Intelligence (EI) is key to the maturing growth of AI applications demanding low-latency and real-time processing on edge devices.

June 23, 2020

AI and COVID-19: Where to next?

The pandemic is forcing a rebalance in investments across all IT investments, especially the AI markets. The healthcare and biotech markets are experiencing a steep increase in investments with a fast-growing adoption of AI. Many organizations have joined forces to accelerate the development of a treatment for COVID-19.

March 24, 2020

AI Trends That’ll Impact Businesses in 2020

Nearly 84 percent of C-suites say they will need artificial intelligence (AI) to achieve their growth objectives, according to a recent report published by the consulting firm Accenture – which surveyed 1,500 executives across 16 industries. In the same report, 75 percent of executives said they expect to go out of business within the next five years if they do not deploy AI effectively.

December 9, 2019

Natural Language Processing (NLP): meaningful advancements with BERT

NLP leverages AI to create the ability for a computer to understand, analyze, manipulate, and generate human language. In recent years significant progress has been made in the area of NLP. In October 2018, Google released BERT which uses the context and relations of all the words in a sentence, rather than one-by-one in order.

September 14, 2019

Accelerate Artificial Intelligence with Transfer Learning

Any article on Artificial Intelligence (AI) will point out that trying to address an AI problem requires large amounts of data to deliver meaningful results. The ability to learn from previous solutions is precisely what “Transfer Learning” is all about.

July 8, 2019

The Data-centric World of Artificial Intelligence (AI)

It is all about the data! We live in a data-centric world where data has become extremely valuable. The ability to extract value out of that data with AI has opened many new opportunities.

March 18, 2019

From Big Data to Machine Learning to Deep Learning the progress of AI

Enterprises that have introduced Artificial Intelligence (AI) in their workflow have seen economic benefits such as increased revenue, cost reduction, and improved asset utilization. AI is impacting all industries and no industry will stay unaffected by the advancements in AI.

February 20, 2018

The Coming Intersection Of HPC And The Enterprise Data Center

High Performance Computing (HPC) traditionally exists as a separate and distinct discipline from enterprise data center computing. Both use the same basic components—servers, networks, storage arrays—but are optimized for different types of applications.
Co-Authored article.