LONDON (3 May, 2018) – Forbes today announced that it will be hosting the first-ever Forbes CIO Summit Europe at the St. Pancras Renaissance Hotel in London on 24th May, furthering the company's continued European expansion of its world-leading franchises. Building from the success of the annual US-based CIO Summit, the Forbes CIO Summit Europe will gather the region's most influential Chief Information Officers (CIOs), as well as the CEOs of leading technology companies to explore today's biggest technological challenges, foster collaboration and generate new ideas. The topics of discussion at the event will focus on the CIO's role at the core of the ever-evolving technology ecosystem and how advances in digital transformation, machine learning, artificial intelligence and data analytics are enabling CIOs to play a central role in driving enterprise growth and value. Attendees will discuss the complex security risks that are entwined with new technology and how the CIO is now the key driver of risk mitigation, while continuing to support internal productivity and operational efficiency. The invitation-only event will take place at the St. Pancras Renaissance Hotel, in the heart of London's emerging King's Cross tech hub, where Silicon Valley giants co-exist with innovative UK start-ups.

On Wednesday, a group of tech industry and academic leaders released a new benchmark to measure the speed of machine learning software and hardware and accelerate improvements in system performance. The benchmark--called MLPerf--was created by a number of tech companies including AMD, Baidu, Google, and Intel, as well as researchers from educational institutions including Harvard, Stanford, and the University of California Berkeley. MLPerf measures speed based on the time it takes to train deep neural networks to perform tasks such as recognizing objects, translating languages, and playing the game of Go. SEE: IT leader's guide to the future of artificial intelligence (Tech Pro Research) As machine learning and artificial intelligence (AI) efforts grow across the enterprise, systems need to evolve quickly to meet demands, Andrew Ng, founder and CEO of Landing.AI, said in a press release. "AI is transforming multiple industries, but for it to reach its full potential, we still need faster hardware and software," Ng said in the release.

Using the most advanced technology in the industry, 24-7 Intouch's customizable customer care method allows their clients to utilize business insights to deliver lifetime consumer loyalty and increase incremental revenue. With over 17 years of experience, the 24-7 Intouch team takes pride in creating a top to bottom brand alignment for partners to create the ideal customer experience.

WASHINGTON--(BUSINESS WIRE)--ZimGo Polling, BPU International's new SaaS election analytics product, is now available just in time for the 2018 U.S. campaign season. This is the first election analytics AI cloud-computing tool utilizing the hyper-accurate, patent-pending Artificial Emotional Intelligence (AEI) ZimGo engine. ZimGo Polling promises to reduce the growing "margin of error" rampant among legacy polling services, along with lowering human bias common to past survey methods. "In today's connected world, data analytics must get smarter and faster to serve the real-time demands of election campaigning," states Oh, Sanggyoon, CEO for BPU Holdings, creator of ZimGo. "Next generation artificial intelligence must assess human emotional sentiment. ZimGo Polling gains insights into how people feel about issues, thereby enabling a virtual 24/7 town hall meeting with citizens."

Dell Technologies announces new 14th generation Dell EMC PowerEdge four-socket servers and Dell Precision Optimizer 5.0 to further strengthen AI and ML capabilities. Forges alliance with Intel in AI and ML for Dell EMC Ready Solutions to enable customers harness the power of data. New AI and ML solutions and partnerships drive smarter, better business outcomes by turning data into intelligent insights in real time. According to the recently released update of the Enterprise Strategy Group (ESG) 2018 IT Transformation Maturity Curve Index, commissioned by Dell EMC, transformed companies are 18X more likely to make better and faster data-driven decisions than their competition. Additionally, transformed companies are 22X as likely to be ahead of the competition with new products and services to market.

Today, ALTEN Calsoft Labs – An ALTEN Group Company, a leader in Technology Consulting and Product Engineering, has announced its partnership with a Machine Learning Company Bayestree Intelligence. The partnership will help transform and automate IT Service Management of ALTEN Calsoft Labs' enterprise customers based out of USA, Europe and Asia Pacific. ALEN Calsoft labs (ACL) is a digital transformation company leveraging AI, ML and IoT to create new solutions and services that are opening up business opportunities and creating new business models for customers. Bayestree has a unique product'Sentient' that assists Tier-1 product and business support teams, resolve customer issues automatically using advanced machine learning (ML) techniques. Sentient analyses historical data issues, passed resolutions as well as data collected from other related sources to learn, model and resolve. Sentient runs patent pending ML algorithms on customer's issues or ticket data to train its model that is capable of drawing inferences as well as making predictions.

The latest Fox News Poll finds that nearly three-quarters (73 percent) of current users say they care if Facebook shares their information with others, and a large 43 percent minority have thought about deleting their account in order to protect their privacy. Think about your interaction with Facebook as a relationship. Now, imagine being at dinner with someone new and they say they are recording the conversation, taking your fingerprints, tracking your movements and they are going to share all of that data with everyone--without your knowledge or consent. According to Matt Erickson, executive director at the Digital Privacy Alliance, that unpleasant scenario is what his colleagues are working against and what Europe's sweeping new privacy regulations taking effect on May 25 are meant to help prevent. During his recent Capitol Hill testimony, Facebook CEO Mark Zuckerberg said his company already has controls in place to comply with Europe's General Data Protection Regulation (GDPR) and told lawmakers they'd likely extend some of those protections to its 2.2 billion users globally.

At the Dell Technologies World the company continued its flash first, NVMe end-to-end, storage approach with its new products. The company was also incorporating Artificial Intelligence (AI) capabilities into its server and storage products. Michael Dell led an interesting announcement of new server and storage products that included applications for Dell products such as for New Jersey based AeroFarms factory farms and a doctor from USC talking about using Dell-based VR for treatment of PTSD. Dell introduced its Dell EMC PowerMax, which the company said it built for mission-critical applications and is engineered with end-to-end NVMe, ready for Storage Class Memory (SCM) and NVMe over Fabrics (NVMe-oF). . Dell says that they have a seamless migration path from the older VMAX product.

Google announced today that Nvidia Tesla V100 GPUs are now available in public beta on its Google Cloud Platform (GCP), accessible through its infrastructure-as-a-service offering Compute Engine and on Kubernetes Engine, its managed environment for deploying containerized applications. The cloud giant also announced general availability of Nvidia's previous-generation P100 parts, in public beta on Google's platform since September 2017. The Tesla V100 is Nvidia's highest-end datacenter GPU, aimed at high-performance computing and machine learning workloads. The first product based on the Volta architecture, unveiled by Nvidia in May 2017, the Tesla V100 for NVLink offers 125 teraflops of mixed-precision floating point, 15.7 teraflops of single-precision floating point, and 7.8 teraflops of double-precision floating point performance. The NVLink 2.0 interconnect provides up to 300GB/s of GPU-to-GPU bandwidth, nearly 10x the data throughput offered by traditional PCIe, boosting performance on deep learning and HPC workloads by up to 40 percent, according to Nvidia.

Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they also are encountering a number of challenges with integrating this new intelligence into their operational processes. The value of using algorithms to unmask hidden patterns and then correlate findings with other seemingly unrelated variables to create real "intelligence" is becoming increasingly clear with each completed proof-of-concept (POC) project. But it is the larger, organization-wide deployment of AI that will generate the return on investment (ROI) that companies large and small have been seeking. To fully access the operational and economic benefits of AI, however, organizations are realizing that, in most cases, enabling AI is not a plug-and-play proposition.