Category: Microsoft news

Frontline workers represent the face of organizations and make up the lion’s share of the workforce. But new Work Trend Index data reveals that 1 in 2 frontline workers cite being burned out in their jobs. Investing in technology that supports the frontline is key. Notably, 65% of frontline workers are optimistic that AI will help them in their jobs.  
We are excited to highlight new Microsoft solutions and investments in next-generation AI for the frontline workforce across nearly every business. Frontline managers and workers can optimize their time from work order creation to schedule management with Copilot in Dynamics 365 Field Service and the new Shifts plug-in for Microsoft 365 Copilot. In Viva Connections, frontline workers can stay up-to-date on internal communications. And with shared device mode for Intune, VMware and SOTI, employees can simplify the sign-in experience securely.  
Today’s announcements not only reduce administrative burden and time on spent on manual tasks, but also enable frontline workers to focus on end customer experiences and receive an overall improved employee experience. Learn more here: https://lnkd.in/e9Ash_82

Frontline workers represent the face of organizations and make up the lion’s share of the workforce. But new Work Trend Index data reveals that 1 in 2 frontline workers cite being burned out in their jobs. Investing in technology that supports the frontline is key. Notably, 65% of frontline workers are optimistic that AI will help them in their jobs.  
We are excited to highlight new Microsoft solutions and investments in next-generation AI for the frontline workforce across nearly every business. Frontline managers and workers can optimize their time from work order creation to schedule management with Copilot in Dynamics 365 Field Service and the new Shifts plug-in for Microsoft 365 Copilot. In Viva Connections, frontline workers can stay up-to-date on internal communications. And with shared device mode for Intune, VMware and SOTI, employees can simplify the sign-in experience securely.  
Today’s announcements not only reduce administrative burden and time on spent on manual tasks, but also enable frontline workers to focus on end customer experiences and receive an overall improved employee experience. Learn more here: https://lnkd.in/e9Ash_82

Frontline workers represent the face of organizations and make up the lion’s share of the workforce. But new Work Trend Index data reveals that 1 in 2 frontline workers cite being burned out in their jobs. Investing in technology that supports the frontline is key. Notably, 65% of frontline workers are optimistic that AI will help them in their jobs.  
We are excited to highlight new Microsoft solutions and investments in next-generation AI for the frontline workforce across nearly every business. Frontline managers and workers can optimize their time from work order creation to schedule management with Copilot in Dynamics 365 Field Service and the new Shifts plug-in for Microsoft 365 Copilot. In Viva Connections, frontline workers can stay up-to-date on internal communications. And with shared device mode for Intune, VMware and SOTI, employees can simplify the sign-in experience securely.  
Today’s announcements not only reduce administrative burden and time on spent on manual tasks, but also enable frontline workers to focus on end customer experiences and receive an overall improved employee experience. Learn more here: https://lnkd.in/e9Ash_82

I have interacted with this man countless number of times. He is one of India’s largest finance creators with 1.7 M+ subscribers on YouTube. But what I have always admired the most about him is his mission to teach and impact lives. I first got to interact with Akshat Shrivastava almost 5 years back, while working at his startup- Cases Over Coffee as a content and research intern. During that time, I was not sure as to what I would go on to do later on and was just exploring various opportunities that came my way. I had never written on social media before and it was only due to this internship, that I started to get a hang of writing online. Although, I used to write quite extensively earlier, while taking notes for my school exams and while jotting down summaries of various articles that I read, but never did I follow a structured approach to writing. Starting to write online allowed me to- ✅Think clearly. ✅Hire people from 4 countries for my first startup. ✅Build a community of 40+ international relations and economics enthusiasts on whatsapp. ✅Foster strong and meaningful connections with some of the country’s top minds. ✅Know the difference between what is needed in a writeup vs what was extra. Over the years, just writing online has helped me so much and Akshat was one of the first people who pushed me to write online. Although my tenure at the firm was short, it was one of the most fruitful ones that shaped me as a person and helped me go well beyond the traditional wisdom and acquire some modern wisdom. So, when I was recently in Goa, I decided to meet him, no matter how far he was. Well, turns out, he actually was very far from where I stayed, close to 80 KM, but I still decided to rent a scooty and go all the way to catch hold of him (pun intended), whilst enjoying the windy weather. When we met, we both enjoyed some Nachos, sandwiches and coffee together and sipped our way through the conversation, recalling our work, new age media and offcourse finance.
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Akshat– I wanted to write this post for long but your recent initiative of “Finance for Kids” and imparting financial literacy to kids for free, inspired me and actually got me into action. This post is a reminder for anyone who hasn’t started writing online, yet. 👉Have you started writing online? If yes, what have you learnt from it? LinkedIn for Creators #storytelling #consulting #internship #writing #growth

McKinsey & Company ‘s The State of AI in 2023 – Generative AI’s breakout year.
▶ One-third of McKinsey Global Survey respondents reported utilizing generative AI tools in at least one business function.
▶ Nearly 25% of C-suite executives admit they use gen AI products for work.
Over 25% of AI businesses’ boards have put AI on their agendas.
▶ Because to gen AI, 40% of respondents said their companies will invest more in AI.
▶ Three-quarters of respondents expect gen AI will disrupt their industry’s competition within three years.
▶ Generative AI tools are mostly used in marketing, sales, product and service development, and service operations.
▶ 21% of AI adopters claim their companies have gen AI policies.
▶ Gen AI’s main risks include accuracy, cybersecurity, and IP infringement.
AI top achievers employ AI in product and service development, risk modeling, and HR more than others.
▶ Some AI high performers suffer with strategic AI adoption, while others struggle with AI maturity.
▶ The newest poll shows that AI-focused firms are hiring new employees.
In the last year, AI-using companies hired data engineers, machine learning engineers, and AI data scientists, but few hired AI-related software developers.
▶ The 2023 McKinsey Global Survey on AI reported that hiring for AI-related professions has gotten easier over the past year. 📌 Nearly four in five AI adopters expect more than 20% of their workforces to be reskilled, while 8% foresee a 20% workforce reduction.
📌 Companies use generative AI to enhance human tasks, not replace them.
Companies are mostly employing generative AI to boost top-line growth and productivity.
📌 55% of firms have embraced AI in at least one function, according to the McKinsey Global Survey on AI.
📌 As in the previous four polls, product and service development and service operations report the most AI use.
📌 Just 23% of respondents claimed AI contributed at least 5% of their organizations’ EBIT last year, suggesting there is considerably more value to extract.
📌 Over two-thirds expect their companies to increase AI investment in the next three years.
📌 Generative AI’s popularity encourages AI adoption.
#generativeai #artificialntelligence #ai #machinelearning Imtiaz Adam Spiros Margaris Dr. Martha Boeckenfeld Prof. Dr. Ingrid Vasiliu-Feltes Glen D Gilmore Harold Sinnott Nicolas Babin Avrohom Gottheil, Tech Influencer DALITH Steiger-Gablinger💃🏻 Enrico Molinari Xavier Gomez THE AI ANDY FITZE 🧠⛵ Koh Capt. Web3 AI Data Assets Digital ID Wallet NFT AR/XR Yann Marchand Dr. Marcell Vollmer R “Ray” Wang Jim Harris, Global Keynote Speaker, Author, Influencer 💯 Jim Marous Brett King Jean-Baptiste Lefevre Jean Cayeux IT Evan Kirstel B2B TechFluencer Eva (reg. brand Smaksked) Frid Dr. Debashis Dutta PH.D. PMP Mike Flache Mike Nash (BA HONS) Damien CABADI Mike de Waal Stephen Harwood Antonio Grasso Chuck Brooks Sarbjeet Johal Marcus Borba Segundo Ramos Sergio Raguso
Tony Moroney Tyler Cohen Wood CISSP

Why Are We Moving to Plural Clouds? From “An Insider’s Guide to Cloud Computing” So, why the sudden move to multicloud? While it might seem as though multicloud suddenly showed up as a new cloud computing concept overnight, it’s been steadily growing and evolving for years. Like most things that become famous, it didn’t just happen overnight. People just finally noticed. I have a saying about multicloud: Whether it’s found on purpose or by accident, multicloud is an inevitable reality for most enterprises. In its most simplistic form, multicloud leverages more than a single cloud provider, meaning two or more public cloud providers. While private clouds can be part of a multicloud, most multiclouds leverage multiple public cloud providers such as AWS, Microsoft, and Google. Or even those three and Oracle and Alibaba. Don’t fall into the semantic arguments that are taking place around the definition of multicloud; it’s just any cloud deployment that leverages more than one public cloud provider. In the beginning of multicloud, many enterprises leveraged a single cloud provider and slid into multi- cloud almost by accident. There were always exceptions being made as developers and end users found some vital public cloud service that was not part of the preferred cloud provider’s services for the enterprise. Ta-da. The enterprise became a multicloud user. In many of my clients’ enterprises, IT denied that the other cloud(s) existed. A network scan will reveal other clouds in use on the enterprise network. Ta-da again. The enterprise has a multicloud. Multicloud followed the same pattern of adoption we saw in the “IT Showdown” movement when employees used their company credit cards to adopt SaaS-based systems, typically to circumvent corporate IT because they were sick of hearing “No.” This is how many companies first entered the cloud. IT got dragged in kicking and screaming when their outlaw users adopted cloud for them and then pushed the resulting problems back to IT when administration and security of those SaaS clouds got too hard and too costly. Adoption of multicloud followed much the same patterns, but now IT is usually aware that it’s happening, either on purpose or not. “Not on purpose” means that a series of exceptions were made to leverage cloud services from other IaaS cloud providers other than the IT-set standard. So, Cloud A could be an enterprise’s primary provider, typically with many past press releases to promote the “partnership.” The new normal is that the number of other IaaS public cloud providers in use is in double digits. Moreover, clouds are still being added to the mix because specialty cloud services are needed that the existing cloud service provider can’t supply for one reason or another. Obviously, “on purpose” is the way you should adopt any technology, multicloud included. It shouldn’t just happen, but instead unfold around a well-th…

Generative AI refers to a category of AI systems that can generate new content, such as text, images, or music. ChatGPT is powered by a Large Language Model, which is a subcategory of a class of models, called Foundation models.  In many cases, foundation models are used as the starting point for generative AI systems. They are trained on a vast amount of unstructured data in an unsupervised manner, allowing them to learn the underlying patterns of the data and create new content that is similar to the original data.  The term “foundation models” was first coined by a team from Stanford. They predict the models will have the foundational capability, that will drive all the applications and use cases by tuning it. Instead of building each model for each task (traditional AI models). ◾For learning materials/ resources in ML, AI, and Data Science, please check my previous posts. Image credit to Gartner I share my learning journey into Machine Learning and Data Science with my amazing LinkedIn friends, click follow and let’s grow together! Alex Wang

The internship season at Indian Institute of Technology, Kharagpur, is about to start, and too many students reached out to me in the past couple months, saying they were not prepared enough and wanted to opt out of the process. This is a very natural tendency when we see people around us with 9+ CGs, amazing interns, great leadership positions and whatnot. When we know there is no chance of bagging an intern, why waste time in the process? The answer was simple: NEVER OPT OUT until there’s no company that fits your aspirations. If there is even one, prepare that CV, learn that process, see how the resume portal works, see how interview shortlists come out, and see how companies and the placement team deal with students. Understanding the process will help you out in the placement season, make you more aware of how companies think and be an experience in which, if you look forward progressively, you can learn a lot. So, keep hustling, keep fighting till the last bit. We are in this together, and we will do something good in the longer run <3 #intern #india #iit