The world has witnessed rapid technological transformation, past couple of decades and with Advent of Cloud computing the landscape evolved exponentially leading to efficient and scalable application development. Now, the past couple of years the digital ecosystem has brought in numerous innovations with integration of Artificial Intelligence commonly known as AI. This paper explores how AI and cloud computing intersect to deliver transformative capabilities for modernizing applications by providing services and infrastructure. Harnessing the combined potential of both AI & Cloud technologies, technology providers can now exploit intelligent resource management, predictive analytics, automated deployment & scaling with enhanced security leading to offering innovative solutions to their customers. Furthermore, by leveraging such technologies of cloud & AI businesses can reap rich rewards in the form of reducing operational costs and improving service delivery. This paper further addresses challenges associated such as data privacy concerns and how it can be mitigated with robust AI governance frameworks.

Medicaid is a federal-state program that provides healthcare to over 80 million low-income Americans, including pregnant women, children, and individuals with disabilities. Up against a host of problems, including rising healthcare costs, disparity in access, and the management of chronic conditions among at-risk groups, Medicaid is one of the biggest healthcare payers in the U.S. Just as Medicare does, the use of Artificial Intelligence (AI) offers a major opportunity to change the delivery of care and operational efficiency in Medicaid [1] [16]. While there has been extensive conversation about AI in Medicare, the unique population and requirements of Medicaid require customized AI applications [1]. Chronic disease management, improving admin tasks, and a reduction in costs are amongst the ways AI tools can help, especially by focusing on social determinants of health (SDOH) that are important for Medicaid populations. The study will assess the ability of AI-enabled systems to reinforce Medicaid in handling its particular challenges while facilitating fair and quality care for its entire population of beneficiaries [8] [9].

I always find it interesting when different though-strands seem to collide. You can put that down to serendipity, fate, luck or just being in the right spot at that time. I like to think I am often colliding at the innovation intersections where I keep finding lots of synergies that feed my research and innovative curiosity to support others. For the past six or so weeks I have been looking into Ecosystems and one of those (famous) strands took me to "Natural Language Understanding" and I read an article by Mark Seall, Head of Digital Communications at Siemens called "How AI is shaping the future of marketing communications" and it got me curious. I got in contact with him and he encourage me to dig a little deeper by using the Siemens AI tool as I have a collaboration agreement in place with them.

To drive AI leadership, CEOs must "pick the right opportunities and set a mindset of experimentation," says Microsoft Services CTO Norm Judah.Microsoft He now runs his own firm, Evans Strategic Communications LLC.) CLOUD WARS -- Call it the CEO's existential challenge: in today's blindingly fast world of digital business, it's no longer enough for every business to become a software business--instead, the new imperative here in our increasingly data-driven economy is that every company must become an AI company. Citing examples of AI-driven innovation that are creating sweeping new business models in established industries as well as disruptive entries from newcomers, the CTO of Microsoft Services said in a recent interview that unless C-suite executives eagerly and bullishly embrace this new AI imperative, they run grave risks of simply becoming unable to compete in a world where AI is becoming indispensable in fully exploiting new business opportunities lurking within the vast ...

In our view, 2018 will be the year leading innovators begin to reveal -- and revel in -- the possibilities offered by Artificial Intelligence (AI) across all parts of the fashion value chain. Over the past couple of years, the potential of AI -- computer systems able to perform tasks normally requiring human intelligence -- has expanded considerably as a result of increasingly large and diverse data sets, advancement in key algorithms, and unprecedented levels of mathematical computing power. Although fashion has not thus far been a leader in this sphere, we expect to see fashion companies on the digital frontier demonstrate this potential as they start to deploy breakthrough AI innovations. Pioneers in this field will realise palpable returns from these efforts and demonstrate the potential advantages for companies that successfully marry creativity and AI. Many fashion executives regard AI as too mechanical to capture the creative core of fashion, and so are uncertain of what exactly it can do for them.