# 55: AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions🔮
Hello,
This newsletter will take you about 4 minutes to read.
I. Spotlight: AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions🔮
The field of artificial intelligence (AI) has seen explosive growth over the last few years. Research in this space has made some very important strides. From breakthroughs in natural language processing and computer vision to improved adoption of AI by businesses, we’ve seen several milestones.
Thanks to Generative AI and Large Language Models (LLMs), AI has taken the center stage so far 2023. However, given the rapid pace of change, it's important to separate meaningful advancements from distracting fads.
To understand the top AI trends, I asked industry leaders and academic experts five questions. It’s the age of human-machine collaboration, so what better way to demonstrate this than by asking AI software about the 2023 AI trends it’s excited about? I did that too.
Photo by Possessed Photography on Unsplash
I asked the same five questions below to OpenAI’s ChatGPT and included the AI model’s responses alongside that of the human experts 😎 Additionally, the AI wrote this Forbes piece’s opening two paragraphs.
1. What do you think was the biggest achievement in the AI space in 2022?
2. What’s the most exciting AI trend that you look forward to materializing in 2023?
3. What’s a fad in this space that you wish would go away next year?
4. To get value from AI, what’s one thing that leaders can start doing today that doesn’t take big effort or money?
5. What’s one thing that leaders should stop doing immediately to realize the benefits from AI?
This article is organized around these questions. Feel free to skip around to those that interest you the most. Don’t miss to contrast the human response with that of the AI for each question!
II. Industry Roundup:
1. Article: How medical devices can use design to boost safety and usability
05 minutes | Med-tech news | Oscar Daws
There are some psychological challenges with Medtech. Its adoption could improve if it seems a piece of ‘regular’ tech rather than being viewed as ‘assistive’ tech. Not just medical but every industry would benefit if it adopts user-centric approach in designing products and solutions. With medtech as an example, this article touches upon behavioral science and how it can help drive usage and improve ROI.
2. Article: 8 Strategies for Chief Data Officers (CDOs) to Create and Demonstrate Value
08 minutes | HBR | Tom Davenport, Richard Y.Wang and Priyanka Tiwari
This article highlights why the CDO job is terribly ill-defined. Not surprisingly, the industry sees rapid turnover of this still-nascent role. To make matters worse, these data and analytics leaders are under pressure to demonstrate value - visibly and quantitatively. The authors recommend eight strategies for CDOs to do just that. Check out the tips segmented by companies starting this journey and those in the advanced stages. What resonates the most with you?
3. Article: Has Progress on Data, Analytics, and AI Stalled at Your Company?
06 minutes | HBR | Randy Bean
The author urges companies to rethink on how they are creating real business value using data, analytics and AI. Based on a recent survey of senior data and analytics leaders of Fortune 1000 companies, the author offers four recommendations: 1) focus on culture change and its business impact, 2) start small, 3) build strong business partners and sponsors at every stage, and 4) pay attention to data ethics. Dig into the article for examples and further details.
III. From my Desk:
1. Award: 2023 NJBIZ Leader in Digital Technology
1 min | LinkedIn
I’m glad to be recognized as a 2023 NJBIZ Leader in Digital Technology. This award celebrates innovations in the digital space. This is a recognition of our team's work in transforming business decisions with analytics. I'm proud of our AI innovations in biodiversity, climate change, & sustainability. Thanks to all our clients & partners!
2. Talk: "Why do most enterprise Data Science projects fail and how you can avoid that?"
2 min | LinkedIn
I recently delivered a guest lecture for the MS Business Analytics students at Columbia University. I shared three common failure patterns in projects that use data & analytics. I shared business examples and my own experiences of making mistakes and learning things the hard way. Check this post for pictures and the three patterns.
3. Workshop: How can non-profits deliver social impact with data & AI?
2 min | LinkedIn
Last week, I ran a workshop for non-profits in Pittsburgh. Organized by Penn State University’s Nittany AI Alliance, the intent was to help non-profits leverage data & AI to deliver social impact. After demystifying the dense AI terminologies, we looked at inspiring examples of NGOs using data for social good. The participants applied the learnings to identify high-impact initiatives for their organizations. For workshop feedback & pictures, check out the post on LinkedIn.
This home-tour video wasn’t shot on a drone. Yes, it was AI-generated🤯
Thank you for subscribing and reading the newsletter. I appreciate your attention,
Ganes.
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I’m Ganes Kesari. I publish ‘Data-Driven Future’ to help understand how data shapes our world, explore key trends, and explain what they mean for you today. I speak and write to demystify data science for decision-makers and organizations.
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