How to keep up with AI: Automation Mag #20
Hi Automation Enthusiast,
The twentieth edition of the Automation Magazine is here! Here's your wrap up of what happened in the last two weeks in the world of AI, automation, and digital transformation.
Here’s what we have this week:
NEWS RADAR
OLD (BUT) GOLD
BRAIN SNACKS
CENTER OF FUNPETENCE
Hop right in!
The Epic Collision of A.I. and Process Automation
If peanut butter met jelly and realized they were meant for each other, that's the A.I. and automation convergence in a nutshell. Learn about the success factors and steps to consider for making it happen.
?? read more ??
20 Ways To Improve Process Automation And Digital Transformation In Finance
To stay in the game, organizations must adopt automation and digital transformation, particularly in the finance sector. This allows financial departments to optimize processes, reduce errors, and use resources effectively.
?? read more ??
The End of Work: Which Jobs Will Survive the AI Revolution?
Jobs are changing in the context of automation. While tasks can be automated, jobs involve a complex set of relationships and human elements that machines can't replace. How is technology reshaping (employed) work, and what will be the role of machines in the future?
? ?? read more ??
In Other News...
The 2023 Gartner AI Hype Cycle
It's no news that GenAI is all the rage these days. It's expected to seriously amp up productivity for folks like developers and knowledge workers. This shift has made companies and industries rethink how they do things and utilize human resources, which has shot GenAI right up to the top of the Hype Cycle.
According to Gartner, there are two sides to the Gen AI movement: innovations fueled by GenAI and those that will fuel advances in GenAI.
Click the image to learn more about Gartner's projections.
Webinar: Responsible Gen AI Use in Enterprises
Next week, Nico Bitzer and Enver Cetin will speak on responsible Gen AI use in enterprises in our webinar with IQPC Germany ??.
In this 45-minute talk, we explore the Gen AI world and discuss topics including:
?? successful Gen AI use cases
?? where to use Gen AI and where it’s better to pass
?? Gen AI vs. Machine Learning—what to choose?
领英推荐
?? implementation challenges and how to overcome them
?? ethical implications of using Generative AI
?? why businesses need to invest in AI training
You’ll also get the chance to bring your perspective to the table and talk directly with the experts during the Q&A session.
ChatGPT Asks Questions About the Future of Work
Why do people work? What work is being done? And who benefits? Author and speaker Dror Poleg puts the famous tool to use in an unconventional way - putting ChatGPT in the interviewer seat. As a response, he drops some nuggets of gold about the weird future of work.
?? check it out ??
An Open-Source Tool for Testing LLMs
Assessing LLMs suitability for business can be a pain. But you're in luck:
Arthur's solutions are like the guardians of LLMs and all those snazzy ML models out there. They're all about making sure things stay legit and responsible and have recently launched Arthur Bench, a robust tool to select, validate, and assess the performance of business LLMs.
?? discover more ??
Taming Data is Key to Making AI Implementation Possible
According to according to a recent S&P survey, data management remains the #1 challenge for companies wanting to implement AI. Beyond issues related to data labeling, clean-up, and centralization, data engineers are faced with the challenge of maintaining data pipelines and orchestrating workflows.
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At the same time, the AI capabilities most likely to have been embedded in businesses include robotic process automation (39%), computer vision (34%), NL text understanding (33%), and virtual agents (33%), according to the Stanford AI Index Report.
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For businesses to integrate AI into their digital transformation strategies, it's necessary to shift from a data pipeline towards data product - and a number of orchestration tools on the market are already facilitating this move.
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While there are solid benefits to integrating AI into the business, such as reducing human labor and costs, and supporting decision-making, AI can also enhance RPA to drive digital transformation - if the infrastructure is in place.
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But among the roadblocks to getting there are not only data quality and modularity, but also employee training, organizational culture, and especially tackling resistance to change (that's our bread and butter).?
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Get the big picture and learn key role of infrastructure and data strategy and the top 3 forecasts for AI & Big Data in the enterprise, from the 2023 "AI in Business" Global Trends Report.
?? dive right in ??
What Does the Fox Say?
Check out the original post?by Vin Vashishta .
That's it for today!
See you in two weeks!
The People (and Bots) of Bots & People ??
Co-Founder & CEO bei Bots and People
1 年The Epic Collision of A.I. and Process Automation - sounds promising