The Mythos Foundation has been established to manage the day-to-day operations of the Mythos blockchain gaming ecosystem decentralized autonomous organization (DAO). With support from industry leaders in web3 gaming, the goal of the Mythos Foundation is to reduce barriers-to-entry for innovative game developers wanting to build thriving play-and-own game economies. The Mythos Foundation also aims to democratize games and allow for players and creators to participate in game value chains through the Mythos ecosystem, which is grounded in the support of multiple blockchains, unified marketplaces, decentralized financial systems and decentralized governance mechanisms. "Mythical has always been a gamer-first platform, and today's announcement signals our commitment to ensuring our community has increased ownership over their gaming experience" Mythos is also announcing the Mythos token (MYTH), an ERC-20 mainnet token with a fixed supply of 1 billion tokens, that will provide web3 game utility and facilitate ecosystem governance, giving gamers, developers, publishers, and content creators the opportunity to participate and contribute to a truly decentralized ecosystem. Mythical Games is the first to adopt MYTH as its native utility token on the Mythical Chain and will use the token on its Mythical Marketplace.

When EY Global Chairman and CEO Carmine Di Sibio broke bread with IBM Chairman and CEO Arvind Krishna last July at a luncheon meeting, the two companies were more "frenemies" than partners. It was not a great relationship," said Di Sibio. "We were more competing than we were friends." That all changed when Krishna laid out IBM's new partner ecosystem charge that was taking hold in the wake of IBM's blockbuster acquisition of Red Hat. "The message I got at lunch was IBM was changing, [going through a] transformation, and the Red Hat acquisition was a big piece of this," he said. Di Sibio was impressed and as a result has made a big bet on Krishna and IBM. Now, the New York-based $37.2 billion global consulting powerhouse is aiming to drive $1 billion in revenue from the IBM partnership over the next few years. Di Sibio said he has been heartened by the speed at which Krishna is driving the transformation at IBM. "IBM notoriously has been, I'll say, moving slower," he said. "I do think they have changed, and they are changing. I have confidence they are going to move fast." The Red Hat deal, in fact, has changed the "culture" at IBM and the ecosystem strategy for the better, said Di Sibio. "Their change in strategy really enabled us to have a different type of relationship," he said. Key to building a strong partnership has been Krishna's technology savvy as a leader, his partnership commitment and the trust that has developed between the two executives, said Di Sibio. "Arvind is pretty technical," he said. "I think he is the right choice for where their strategy is going as they move forward." Since that lunch meeting, EY and IBM have combined on a joint go-to-market plan centered on the IBM Financial Services Cloud, combining EY's financial consulting muscle with IBM's cloud prowess. The two companies also launched just two months ago EY Diligence Edge, an AI-enabled M&A due diligence platform hosted on IBM Cloud and supported by IBM Watson Discovery. EY had opportunities to use different cloud providers for EY Diligence Edge but chose IBM because of its hybrid cloud strategy and Watson AI technology as a "differentiator," said Di Sibio. He said the IBM technology is helping win M&A customers for EY. "I think Arvind is bringing IBM back to being an innovative technology company based on hybrid cloud," he said. The EY partnership is just one piece of Krishna's bold bet on partners with the company's biggest go-to-market change in three decades as part of his "maniacal focus" to make IBM the No. 1 provider of hybrid cloud and AI. "I think it's the biggest change we have made in our go-to-market [model] in my living memory," said Krishna, who started his career at IBM in 1990 as a researcher at its Thomas J. Watson Research Center. "If you think about how we pay our people and how we have got clarity on the partners, it is the single biggest change in 30 years on the go-to-market.

Mphasis, an Information Technology solutions provider specializing in cloud and cognitive services, announced that it has been recognized as a Leader in'Migration and Container Solutions' and "Rising Star" in dual categories of Data Analytics and Machine Learning and Consulting Service Providers, for US and Germany regions by Information Service Group (ISG), a leading global technology research and advisory firm. According to ISG's AWS Ecosystems Partners 2020 Report, Mphasis was recognised for its Intelligent-Automated Migration approach with its specialized migrations suite – CMAS and its Stelligent brand, Intelligent Migration Factory. Mphasis was ranked high across all ISG's container and migration services assessment criteria. The approach of providing integrated and enhanced technology solutions resulted in Mphasis being acknowledged for the AWS Competencies in DevOps, financial services and security and validations. "We are honoured to be recognised by ISG and are proud that our efforts and services have been recognised across US and Germany, and this recognition will act as a stimulus for us to continue innovating and strengthening our product portfolio and technology solutions for our existing as well as the potential clients. Mphasis serves many marquee customers across the globe and our focus is to build an ecosystem to empower our clients to harness their potential and maximize their capabilities in a digitally advanced environment," said Srikumar Ramanathan, Senior Vice President, Head Portfolio Group, Mphasis.

This post was co-authored by the extended Microsoft Connected Vehicle Platform (MCVP) team. A connected vehicle solution must enable a fleet of potentially millions of vehicles, distributed around the world, to deliver intuitive experiences including infotainment, entertainment, productivity, driver safety, driver assistance. In addition to these services in the vehicle, a connected vehicle solution is critical for fleet solutions like ride and car sharing as well as phone apps that incorporate the context of the user and the journey. Imagine you are driving to your vacation destination and you start your conference call from home while you are packing. When you transition to the shared vehicle, the route planning takes into account the best route for connectivity and easy driving and adjusts the microphone sensitivity during the call in the back seat.

This post was co-authored by the extended Microsoft Connected Vehicle Platform (MCVP) team. A connected vehicle solution must enable a fleet of potentially millions of vehicles, distributed around the world, to deliver intuitive experiences including infotainment, entertainment, productivity, driver safety, driver assistance. In addition to these services in the vehicle, a connected vehicle solution is critical for fleet solutions like ride and car sharing as well as phone apps that incorporate the context of the user and the journey. Imagine you are driving to your vacation destination and you start your conference call from home while you are packing. When you transition to the shared vehicle, the route planning takes into account the best route for connectivity and easy driving and adjusts the microphone sensitivity during the call in the back seat.

The BFSI sector has always been the first to experiment and adopt emerging technologies, even when the business case is not so clear. Last year, while the hype about blockchain came down significantly, AI continued to be an increased area of interest. As expected, bots continued to be deployed across the enterprise, and showed the ability to handle queries of increased complexity and scale. Kotak Mahindra Bank's Keya, India's first voice bot in the banking sector, handles more than a million interactions every month and successfully recognises the intent behind 70 per cent of all calls. Similarly, 120 bots deployed at ICICI Lombard General Insurance handle about 90 per cent of policy issuance in near real-time.

Newton sits underneath an apple tree. History is spiced with Eureka! moments when human understanding leaps forward. Thomas Edison chose a more deliberate approach: Rather than waiting for lightning to strike, he saw innovation as a replicable, continuous process. His facility in Menlo Park, New Jersey, was the first industrial lab specifically designed to produce a continuous stream of commercially viable technology innovations built on new and emerging technologies.1 Of course, the pace of technology innovation today--and its impact on business--is exponentially faster than in Edison's industrial age.

NEW YORK--(BUSINESS WIRE)--Accenture (NYSE:ACN) has joined the Partnership on AI, a prestigious alliance of businesses, researchers, academics and policy makers that work to advance the understanding of artificial intelligence (AI) technology and develop best practices on the challenges and opportunities within the field. Accenture joins other prominent industry leaders who share its commitment to advancing the field of AI so that it benefits people and society. Accenture will actively contribute its own insights, research and capabilities in areas including Responsible AI, and will dedicate people and resources to collaborate with Partnership on AI members to help address important global challenges such as food, diversity, inclusion, health, education and economic opportunity. "We are thrilled to join the Partnership on AI. We believe businesses, governments and academia have a critical role in co-innovating and applying AI to invent new educational, workforce and business models that are both responsible and responsive to the needs of people and society. It's up to us to ensure AI can truly be a force for public good," said Paul Daugherty, Accenture's chief technology & innovation officer.