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HPE to acquire BlueData to accelerate customers AI and Big Data-driven transformations

Our customers are living in a data-driven world and the volume of information they generate is growing exponentially. As a result, companies are increasingly investing in the hardware, software, and services needed to gain actionable insights from their data. By 2022, the total addressable market for artificial intelligence/machine learning (AI/ML) and big data is expected to grow to approximately $160 billion.[1] However, according to Gartner, by 2020 half of organizations will lack sufficient AI and data literacy skills needed to extract business value from their data, and they are already demanding easier-to-implement, faster-to-deploy, and more cost-effective solutions for AI/ML and big data analytics.

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Talend

Talend, the leading data integration and data integrity company, enables every business to find clarity amidst the data chaos. Talend is the only company to bring together in a single platform all the necessary capabilities that ensure enterprise data is complete, clean, compliant, and readily available to everyone who needs it throughout the organization.

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Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | February 29, 2024

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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Application Development Platform

How Artificial Intelligence Is Transforming Businesses

Article | March 15, 2024

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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Software, Low-Code App Development

The advances of AI in healthcare

Article | June 7, 2024

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

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Application Development Platform

Friction to Flow: Solutions for Addressing IDE Challenges

Article | February 29, 2024

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

Read More
Application Development Platform

Application Development Best Practices for Improved Efficiency

Article | March 15, 2024

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

Read More
Software, Low-Code App Development

Best Advanced Application Development Tools in 2024

Article | June 7, 2024

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

Read More

Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

Read More
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Spotlight

Talend

Talend, the leading data integration and data integrity company, enables every business to find clarity amidst the data chaos. Talend is the only company to bring together in a single platform all the necessary capabilities that ensure enterprise data is complete, clean, compliant, and readily available to everyone who needs it throughout the organization.

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General AI

AI Quality Leader TruEra Receives Investment from Hewlett Packard Enterprise

TruEra | June 23, 2022

Hewlett Packard Enterprise announced today that it has invested in TruEra through its venture capital program, Hewlett Packard Pathfinder. TruEra offers the first suite of AI Quality management solutions for managing model performance, explainability, and societal effect. The $25M Series B round TruEra announced in March 2022 is now extended. Hewlett Packard Pathfinder invests in market-leading start-ups, develops solutions fusing the technology of portfolio companies with Hewlett Packard Enterprise goods, and designs collaborative go-to-market strategies. Hewlett Packard Pathfinder also keeps a careful eye on longer-term disruptive innovation, supporting the development of cutting-edge technology. "We're excited to become an investor and to partner with TruEra in developing comprehensive solutions for our enterprise customers in conjunction with our High-Performance Computing offering," said Paul Glaser, Vice President and Head of Hewlett Packard Pathfinder. The quality challenge, the following significant AI challenge, is addressed by TruEra. In order to quickly correct problems and maintain peak performance, ML teams can use TruEra's solutions to explain, analyze, and test the performance, risk, and responsible AI characteristics of models early in the development process. As a result, numerous Fortune 1000 businesses have chosen TruEra as their preferred provider because of its distinctive, whole lifecycle approach to model quality. "AI model quality and ML Ops have emerged as considerable challenges for enterprises deploying and scaling machine learning models. Solving these challenges is imperative for AI success, and TruEra stands out for its deep expertise, differentiated technology and practical experience helping companies deliver and monitor AI applications." Ali Wasti, Managing Director, Hewlett Packard Pathfinder Top-tier investors such as Menlo Ventures, Greylock Partners, and Wing Venture Capital have contributed approximately $45 MM to TruEra. Anupam Datta and Shayak Sen, co-founders of TruEra, conducted academic research at Carnegie Mellon University that served as the basis for the company's technology. "Hewlett Packard Enterprise is a leading, trusted provider to the enterprise, and is known for its ability to ensure that cutting-edge innovation delivers proven results. We're looking forward to working closely with the HPE team as partners on customer engagements," said Will Uppington, CEO and co-founder, TruEra.

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HPE accelerates Artificial Intelligence innovation with enterprise-grade solution for managing entire machine learning lifecycle

Hewlett Packard Enterprise | September 10, 2019

Hewlett Packard Enterprise (HPE) today announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days. Enterprise AI adoption has more than doubled in the last four years1, and organizations continue to invest significant time and resources in building machine learning and deep learning models for a wide range of AI use cases such as fraud detection, personalized medicine, and predictive customer analytics. However, the biggest challenge faced by technical professionals is operationalizing ML, also known as the “last mile,” to successfully deploy and manage these models, and unlock business value. According to Gartner, by 2021, at least 50 percent of machine learning projects will not be fully deployed due to lack of operationalization.

Read More

Hewlett Packard Enterprise advances the cloud experience through intelligence and composability

Hewlett Packard Enterprise | November 04, 2019

Hewlett Packard Enterprise (HPE) today announced combined intelligence and composability offerings by integrating its artificial intelligence (AI) and machine learning-driven HPE Primera storage platform with the composability in HPE Synergy and HPE Composable Rack1, helping customers rapidly deliver new apps and innovations to propel their businesses forward. This unique combination allows customers to deliver services on an intelligent cloud platform, offering the flexibility to support any application and service level agreement (SLA) with cloud-like agility, extreme resiliency, and seamless scalability. Additionally, expanding on the recent introduction of HPE Synergy support for VMware Cloud Foundation (VCF), HPE Composable Rack, the HPE composable rack-scale solution, now supports VCF for hybrid cloud deployments.

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General AI

AI Quality Leader TruEra Receives Investment from Hewlett Packard Enterprise

TruEra | June 23, 2022

Hewlett Packard Enterprise announced today that it has invested in TruEra through its venture capital program, Hewlett Packard Pathfinder. TruEra offers the first suite of AI Quality management solutions for managing model performance, explainability, and societal effect. The $25M Series B round TruEra announced in March 2022 is now extended. Hewlett Packard Pathfinder invests in market-leading start-ups, develops solutions fusing the technology of portfolio companies with Hewlett Packard Enterprise goods, and designs collaborative go-to-market strategies. Hewlett Packard Pathfinder also keeps a careful eye on longer-term disruptive innovation, supporting the development of cutting-edge technology. "We're excited to become an investor and to partner with TruEra in developing comprehensive solutions for our enterprise customers in conjunction with our High-Performance Computing offering," said Paul Glaser, Vice President and Head of Hewlett Packard Pathfinder. The quality challenge, the following significant AI challenge, is addressed by TruEra. In order to quickly correct problems and maintain peak performance, ML teams can use TruEra's solutions to explain, analyze, and test the performance, risk, and responsible AI characteristics of models early in the development process. As a result, numerous Fortune 1000 businesses have chosen TruEra as their preferred provider because of its distinctive, whole lifecycle approach to model quality. "AI model quality and ML Ops have emerged as considerable challenges for enterprises deploying and scaling machine learning models. Solving these challenges is imperative for AI success, and TruEra stands out for its deep expertise, differentiated technology and practical experience helping companies deliver and monitor AI applications." Ali Wasti, Managing Director, Hewlett Packard Pathfinder Top-tier investors such as Menlo Ventures, Greylock Partners, and Wing Venture Capital have contributed approximately $45 MM to TruEra. Anupam Datta and Shayak Sen, co-founders of TruEra, conducted academic research at Carnegie Mellon University that served as the basis for the company's technology. "Hewlett Packard Enterprise is a leading, trusted provider to the enterprise, and is known for its ability to ensure that cutting-edge innovation delivers proven results. We're looking forward to working closely with the HPE team as partners on customer engagements," said Will Uppington, CEO and co-founder, TruEra.

Read More

HPE accelerates Artificial Intelligence innovation with enterprise-grade solution for managing entire machine learning lifecycle

Hewlett Packard Enterprise | September 10, 2019

Hewlett Packard Enterprise (HPE) today announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days. Enterprise AI adoption has more than doubled in the last four years1, and organizations continue to invest significant time and resources in building machine learning and deep learning models for a wide range of AI use cases such as fraud detection, personalized medicine, and predictive customer analytics. However, the biggest challenge faced by technical professionals is operationalizing ML, also known as the “last mile,” to successfully deploy and manage these models, and unlock business value. According to Gartner, by 2021, at least 50 percent of machine learning projects will not be fully deployed due to lack of operationalization.

Read More

Hewlett Packard Enterprise advances the cloud experience through intelligence and composability

Hewlett Packard Enterprise | November 04, 2019

Hewlett Packard Enterprise (HPE) today announced combined intelligence and composability offerings by integrating its artificial intelligence (AI) and machine learning-driven HPE Primera storage platform with the composability in HPE Synergy and HPE Composable Rack1, helping customers rapidly deliver new apps and innovations to propel their businesses forward. This unique combination allows customers to deliver services on an intelligent cloud platform, offering the flexibility to support any application and service level agreement (SLA) with cloud-like agility, extreme resiliency, and seamless scalability. Additionally, expanding on the recent introduction of HPE Synergy support for VMware Cloud Foundation (VCF), HPE Composable Rack, the HPE composable rack-scale solution, now supports VCF for hybrid cloud deployments.

Read More

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