Microsoft Focuses On Productivity And Workflows With AI Automation And Collaborative Tools At Ignite 2022

“It runs on OpenAI Codex, which translates natural language into code. I believe we are seeing significant real word progress with AI and its ability to create productive content, in this case, automate workflows with data given to it. This powerful tool allows people with little to no programming experience to create flows. I imagine this integration of OpenAI Codex would be useful with Microsoft’s Process Advisor, where Process Advisor tells you what would be efficient to automate. Then Power Automate automates it for you. I believe the goal would be to support all Microsoft 365 and third-party apps for creating a flow and, eventually, creating full business applications simply by describing the app.”

AI-led startup raises $100M in Series C round led by Insight Partners

  • “, the AI startup that has built a low-code/no-code app development platform, has raised $100 million in a Series C funding round led by Insight Partners.
  • According to the startup, builds software and apps that are up to 6x faster and is around 70 percent cheaper as compared to other avenues. It claims that its revenue increased by over 300 percent and deployed more than 40,000 features in the last one year.
  • Jungle Ventures Founding Partner Amit Anand said, ‘Organisations today, more than ever, are in need to be changing, innovating and deploying new ideas fast. This requires a stable but agile software development platform that can leverage innovative technologies such as AI and low-code/no-code to enable rapid digital transformation and create real time impact for stakeholders.’”

Why You Should Think Of AI As A Team Sport

  • “Domain expertise is key; machines don’t have the depth of context that people have, and people need to know the business and data well enough to understand which actions to take based on any insights or recommendations that are surfaced.
  • The 2021 Gartner® The State of Data Science and Machine Learning (DSML) report states that “client demand is shifting, with less-technical audiences wanting to apply DSML more easily, experts needing to improve productivity and enterprises requiring shorter time to value for their investments
  • With a more iterative, revise-and-redeploy model building processes, people with business context can get value from AI faster—even deploying new models to thousands of users within days to weeks, instead of weeks to months. This is especially powerful for those teams whose unique challenges may not be a high priority for data science teams, but can benefit from the speed and thoroughness of AI analysis.
  • McKinsey’s latest global survey on AI revealed that within 34% of high-performing organizations “a dedicated training center develops nontechnical personnel’s AI skills through hand-on learning,” compared to only 14% of all others surveyed. Additionally, in 39% of high-performing organizations “there are designated channels of communications and touchpoints between AI users and the organization’s data science team,” compared to only 20% of others.”

Software start-up Airtable hits $11 billion valuation in latest funding, adds Salesforce, Michael Dell as investors

“Airtable was co-founded by Howie Liu, who sold his other start-up — enterprise software company Etacts — to Salesforce in 2011. As Airtable’s CEO, Liu’s mission is to make the complex world of software more user friendly. Up until companies like Airtable started creating low-code and no-code software, it wasn’t really accessible to most people. Now with no coding background required, workers can build apps and workflows.

The fast-growing code-for-everyone-else approach allows professionals who aren’t fluent in coding languages such as Java or Python, and don’t have their desk buried deep within the stack, to play a part in rethinking and remaking the consumer and client digital experience.”