Hewlett Packard Enterprise has agreed to buy Juniper Networks, a 14 billion deal that would merge two legacy network-operations companies as they seek to capitalize on the rise of generative artificial intelligence. The Wall Street Journal reported on Monday that the companies were nearing a deal.

Hewlett Packard Enterprise announced that King Abdullah University of Science and Technology (KAUST) selected HPE to build its next-generation supercomputer, Shaheen III, to deliver state-of-the-art supercomputing and artificial intelligence (AI) capabilities for advancing research in fields such as food, water, energy and the environment. "Powered by AMD EPYC processors, Shaheen III will enable new discoveries that will have regional and global impacts across climate, clean energy and tectonic plate modeling, all made possible by the collaboration between KAUST scientists and HPE." Supercomputing capacity has become increasingly vital to global innovation, industry competitiveness and economic growth. From accelerating vaccine discovery to fight a pandemic, advancing clean energy systems to increase sustainability, to enabling new possibilities in AI, supercomputing is a core technology to solving the world's most challenging scientific and engineering problems. Shaheen III, set to be 20 times faster than KAUST's existing system, will be the most powerful supercomputer in the Middle East to address critical areas that have a societal and environmental impact. Built by HPE, the world's leading supercomputer provider, the new Shaheen III system will revolutionize KAUST's ability to process vast amounts of data at immense speed and scale, enabling its users to unlock discoveries that it could not have before, and realize new potentials for AI.

Deep learning has enormous promise but developing deep learning models at scale remains extremely complex, time-consuming, and expensive. At Determined AI, part of Hewlett Packard Enterprise, we are working to change that: our revolutionary open-source deep learning training platform enables deep learning engineers to train better models in less time, to seamlessly share GPU clusters, and to collaborate more effectively. They are the main interface between customers and our engineering organization. In this role, you will take on challenging issues that our customers face, working together with other engineers towards a resolution. As a Developer Support Engineer, you can shape our customers' experiences with our products, as well as help define our support processes.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. With artificial intelligence (AI) and machine learning (ML) now serving as key attributes to make IT systems faster, more accurate and beneficial for an enterprise's bottom line, the importance of transparency in how these components are working also becomes more critical . Why? Biases can creep into AI / ML models just as it does in humans, and when it does, queries can go awry and skewed analytics can cause production results to be incorrect. Explainable AI is important for trust, compliance and building less-biased AI models. Both customers and regulators want to know more about what's inside the black box.

The second edition of the Middle East Digital Health Forum will kick off on June 16, with officials and industry experts in Dubai converging to spotlight new transformations in the healthcare sector and the role that technology will play in creating a sustainable future for the industry. Presented by Khaleej Times, under the endorsement of the Ministry of Health & Prevention, the event sees Hewlett Packard Enterprise as the Gold Sponsor and KeyReply as the Networking Sponsor. The in-person event will discuss the impact of digitisation on everyday healthcare and strategies to overcome challenges for sustainable digital healthcare transformation. Experts have noted that the global healthcare ecosystem is undergoing unprecedented changes with the 4th industrial revolution bringing in technologies such as Artificial Intelligence, the Internet of Things, and big data. They explained that the healthcare industry has already been slow in the uptake of the technology revolution, and that this has brought about several challenges.

Democratizing data access is key to bolstering data inclusion and equity but requires sophisticated data organization and sharing that doesn't compromise privacy. Rights management governance and high levels of end-to-end security can help ensure that data is being shared without security risks, says Zdankus. Ultimately, improving digital inclusion and equity comes down to company culture. "It can't just be a P&L [profit and loss] decision. It has to be around thought leadership and innovation and how you can engage your employees in a way that's meaningful in a way to build relevance for your company," says Zdankus. Solutions need to be value-based to foster goodwill and trust among employees, other organizations, and consumers. "If innovation for equity and inclusion were that easy, it would've been done already," says Zdankus. The push for greater inclusion and equity is a long-term and full-fledged commitment. Companies need to prioritize inclusion within their workforce and offer greater visibility to marginalized voices, develop interest in technology among young people, and implement systems thinking that focuses on how to bring individual strengths together towards a common outcome. This episode of Business Lab is produced in association with Hewlett Packard Enterprises.

Key Takeaways: - New Artificial Intelligence (AI) technology is being integrated into all industries. I have written a few articles regarding the liability of autonomous systems under the United Arab Emirates' (UAE) law, regarding the liability of autonomous systems under the UAE's Civil Code, available remedies, comparing to other regimes, and recommendations for law, policy and ethics. I focused mainly on the liability and regulation of autonomous or Artificial Intelligence (AI) systems under the laws of the UAE, but I also compared the UAE's legal system to other regimes, including the United Kingdom (UK) and the European Union (EU). I concluded that generally speaking, when it comes to AI, the issues are similar across the globe. In the near future, every single one of us will be dealing in some shape or form with an autonomous system or an AI-powered system.

The importance of data to today's businesses can't be overstated. Studies show data-driven companies are 58% more likely to beat revenue goals than non-data-driven companies and 162% more likely to significantly outperform laggards. Data analytics are helping nearly half of all companies make better decisions about everything, from the products they deliver to the markets they target. Data is becoming critical in every industry, whether it's helping farms increase the value of the crops they produce or fundamentally changing the game of basketball. Used optimally, data is nothing less than a critically important asset. Problem is, it's not always easy to put data to work. The Seagate Rethink Data report, with research and analysis by IDC, found that only 32% of the data available to enterprises is ever used and the remaining 68% goes unleveraged.

Beena Ammanath, executive director of the Deloitte AI Institute, joined the board of trustees at AnitaB.org, the global nonprofit company focused on intersectional gender and pay parity in tech. Ammanath has held leadership positions at HPE, GE, Thomson Reuters, British Telecom and Bank of America and is the founder of the nonprofit organization Humans For AI. "I'm honored to join the distinguished executives and leaders on the AnitaB.org Board of Trustees," said Ammanath. "Throughout my career, I have been passionate about supporting the development of women leaders in the field of technology and I look forward to working with my fellow board members to advance the important work of AnitaB.org." StorMagic, a storage and security products provider, appointed Danial Beer as its chief executive officer. Beer brings more than 25 years of senior management experience in the global software industry. Beer previously held positions as CEO of GFI Software, COO of YOUI Labs Inc., and executive director of both the performance management and M&A divisions of IBM.

NVIDIA today announced the availability of NVIDIA AI Enterprise, a comprehensive software suite of AI tools and frameworks that enables the hundreds of thousands of companies running VMware vSphere to virtualize AI workloads on NVIDIA-Certified Systems . Leading manufacturers Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro are offering NVIDIA-Certified Systems optimized for AI workloads on VMware vSphere with NVIDIA AI Enterprise. Separately, Dell Technologies today announced Dell EMC VxRail as the first hyperconverged platform to be qualified as an NVIDIA-Certified System for NVIDIA AI Enterprise. To help teams of data scientists run their AI workloads most efficiently, Domino Data Lab today announced it is validating its Domino Enterprise MLOps Platform with NVIDIA AI Enterprise, which runs on mainstream NVIDIA-Certified Systems. "The first wave of AI has been powered by specialized infrastructure that focused adoption on industry pioneers," said Manuvir Das, head of Enterprise Computing at NVIDIA.