How Microsoft Leads with A.I in 2022?
Microsoft's AI-as-a-Service Ecosystem Rapidly Improving
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How Azure Shines in A.I.
Hey Guys,
We know Cloud leaders are able to offer their customers innovative access to artificial intelligence, but the way this is occurring at scale in the 2020s is going to be really interesting.
While it is true I do rely on LinkedIn for some traffic to my Newsletters on Substack, this is not a sponsored post, but I find it somewhat revealing to how A.I. is having a trickle-down effect in what you might call a democratization of its machine learning brilliance.
Let me explain here my point of view in this short article, and correct me if I’m wrong in a comment below.
For instance, Microsoft is elevating its partnership ecosystem with various AI-as-a-Service features of its Azure ecosystem. Azure AI—a portfolio of AI services designed for developers and data scientists. However some of the traction with business partners is showing real progress.
Furthermore, Azure Cognitive Services brings AI to developers through APIs that don't require machine-learning expertise. On my LinkedIn I recently saw a post by Xuedong Huang that impressed me.
Project Z-Code is a component of Microsoft’s larger XYZ-code initiative to combine AI models for text, vision, audio, and language. Z-code supports the creation of AI systems that can speak, see, hear, and understand. This effort is a part of Azure AI and Project Turing, focusing on building multilingual, large-scale language models that support various production teams to evolve Microsoft products with the adoption of deep learning pre-trained models.
How industries are partnering with Microsoft to empower their teams and serve customers through uncertainty
With Microsoft “digital transformation” bump we didn’t just see the emergence of WFM tools like Teams, we saw Microsoft Research doing some of its best work ever. This also contributes to how Azure is helping its customers benefit.
Azure Cognitive Services Tops Rankings
GENIE is an evaluation leaderboard for tasks that involve text generation on a diverse set of tasks. It contains a suite of seven existing datasets (direct-answer question answering, translation, common-sense reasoning, paraphrasing, etc). The goal of this leaderboard is to provide evaluation for generative tasks and to encourage the AI community to think about more difficult challenges. This is the Summarization XSUM leaderboard component of GENIE.
So Microsoft Azure Cognitive Services recently has risen to the top with Z-code.
This to me suggests Microsoft is peaking at a time of great business uncertainty and able to provide customers on Azure with A.I. tools that can benefit the conditions of a global recession we might be facing in the next 6 to 18 months.
Microsoft is already a leader in cybersecurity so Azure is looking really good.
We sometimes forget Cloud adoption hasn’t even reached a saturation point yet, it’s still a nascent field of growth with plenty of room for Amazon, Microsoft, Google, Alibaba, Baidu and many others.
This past quarter was shaped by global events and has renewed the focus of technologists on how the cloud enables organizations to manage risk while supporting growth. I believe A.I. is becoming more valuable as a service and suite of tools on the Cloud than ever before.
Recommended by LinkedIn
Software Upgraded with A.I.
As such Azure AI is becoming more powerful. Microsoft’s “digital transformation” bump means their decades of breakthrough research, responsible AI practices, and flexibility that Azure AI offers to build means companies can better take advantages and deploy their own AI solutions.
The Software tools Microsoft is synonymous with is now offering essential access to high-quality vision, speech, language, and decision-making AI models through simple API calls, and create your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code, and open-source frameworks like TensorFlow and PyTorch.
With 8,500 + papers, Microsoft Research is arriving at a point where I’m way more confident about the company’s capabilities here.
Microsoft recently announced (April, 2022) partnerships with Mastercard and Kraft Heinz, where they are helping organizations across all industries to build more resilient supply chains, enhance sustainability, and improve connectivity and security.
So in a world where businesses want to be empowered with Cloud tools and AI, the benefits are really clear:
So if you work with Microsoft AI or Azure in 2022, you have got to hand it to your team’s efforts, these are meaningful things to empower businesses with. I have a renewed respect for academics in A.I. labs like Microsoft Research. Forgive me, but I do not necessarily have the same respect for FAIR, OpenAI, Tesla or Apple engineers and A.I. researchers. Microsoft is leading change perhaps on the Cloud today with their A.I. capabilities and research.
This is the first time in a while I’ve been able to say this.
Microsoft’s case studies suddenly make sense in the spirit of digital transformation that businesses need during uncertainty and a lower consumer sentiment in both spending and markets. Azure for instance, is enabling wireless networking and hybrid working for both personal and professional purposes. AT&T, for instance, is integrating its 5G network with Azure private multiaccess edge compute to help deploy private wireless networks for low-latency services whilst e& is partnering with Microsoft to reinvent consumer experiences.
Microsoft thus has a unique ability to offer:
Microsoft’s Bolstering of its A.I. Enables it to Become a Dominant Cloud Marketplace
This is a trifecta that is somewhat rare. We cannot expect reasonably Amazon or Google to necessarily be as adept at all three things as Microsoft has become. It’s unreasonable to expect IBM, Alibaba, Huawei or others to be able to match them in this anytime soon.
The Cloud is also becoming a marketplace. A.I. is the service that will be most in demand. Last year, 45% of Cloud 100 companies were actively selling on at least one cloud marketplace. BVP for instance, predict this will nearly double to 80% over the next two years. Thus AI-as-a-Service becomes a pretty big deal in the 2020s.
Microsoft is a Likely Leader in the Industrial Metaverse
As for RTO, whether in hybrid-work or fully distributed remote teams, Microsoft is empowering a lot of innovation among its customers. The use of industrial metaverse technologies, end-to-end security and Azure Cognitive Services are also improving companies’ operations and opportunities for hybrid learning.
That Microsoft is a leader in the gaming Metaverse is also a notable achievement if the Activision acquisition and Starfield launch both are on point. There’s no indication to suppose they won’t both really enable Microsoft to hit a new level.
So in the 2 most important tangible pillars of the Metaverse, Microsoft is essentially already ahead. I’ve already spoken about how Microsoft is the most diversified company in the world. While Oil giant Saudi Aramco is now the world’s most valuable company in the world with Apple’s recent downturn, Microsoft remains more resilient to a market and consumer uncertainty in the event of a recession. So much of Microsoft’s software subscription revenue is locked in.
Why Microsoft’s A.I. Will Enter a Golden Age in 2023
Microsoft’s unique ability to commercialize OpenAI’s GTP-4 also could be a big windfall. Already in India, Microsoft is aiming to nurture and scale startups in the country, Microsoft AI Innovate’s second season is inviting nominations from SaaS startups whose core applications or services are built using Artificial Intelligence (AI) technologies. Microsoft can thus leverage its Cloud dominance (part of a global duopoly with AWS), it’s A.I. Lab renaissance, it’s WFH software dominance of “digital transformation” and it’s synergy between its various pillars into tremendous success.
It’s social-graph, cybersecurity, advertising and gaming growth are all notable that will allow profits to further fund its R&D in artificial intelligence. This is why I see Azure, Microsoft Research and Azure AI in a fundamentally new light in 2022. I predict that in 2023, while the world struggles, Microsoft will be entering a new golden age for its company where better artificial intelligence will be the natural result.
Anyways guys, that’s my short-form analysis of Microsoft’s unique AI-as-a-Service opportunity in the Cloud and why I’m becoming more bullish on their approach. I recently already covered Microsoft’s earnings report here.
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2yMicrosoft's reputation for cloud computing was said to be high. This article made me realize how great Microsoft is. I also thought that the golden age of Microsoft since Windows 95 will come again. The Japanese web industry uses Amazon's cloud. I felt that it could replace Microsoft and it is a warring age of cloud business. I think other manufacturers will become more competitive and chase after Microsoft. I think they will invest in R&D and consumers will be able to receive higher quality cloud services.
A.I. Writer, researcher and curator - full-time Newsletter publication manager.
2yThanks Rangan Majumder, David Beauchemin, Simon Lacasse, Lili Cheng, and so forth.
A.I. Writer, researcher and curator - full-time Newsletter publication manager.
2yCheck this out David Carmona. Who are good people to follow at Microsoft and LinkedIn involved in A.I. if I may ask?
A.I. Writer, researcher and curator - full-time Newsletter publication manager.
2yCheck this out Thomas Maurer
A.I. Writer, researcher and curator - full-time Newsletter publication manager.
2yCheck this out Dheepa Iyer, Indranil Sircar, Amit Bahree, Sébastien Riopel-Murray, Sarah Tobis, Javier Guillen, Shashi Kosalram, Laura Pio, Brian Schwertfeger and friends.