How AI is transforming various industries and businesses

View profile for Jay Jung

M&A and CFO Advisory | Goldman Sachs | McKinsey

By now, you’ve likely given AI or automation a try–you’re probably even using it for your email and managing your task list. Did you know that clinicians are using AI to capture and document client notes? 🤔 Did you know that behavioral health facilities are using AI admissions assistants to field calls and screen applicants? 🤔 Veterinary hospitals are using AI to assist in radiology and pathology, assessing scans and detecting subtle abnormalities that the human eye might miss. 🤔 Did you know that AI is showing up in R&D and product development workflows? 🤔 If you’re still ‘just testing’ AI and automation to answer emails and generate marketing content, you are already behind. 🤯🤯🤯 I get it–it’s new, it’s pretty scary, and there are A LOT of new flash-in-the-pan companies selling big promises based on even bigger dreams. Translation - BIG RISK. I’m not saying throw caution to the wind and dive in, vet opportunities with the same business saviness that you do for any other opportunity. Just make sure that you ARE LOOKING for those opportunities and that you are open to taking manageable risks to stay competitive on the technology front. Here are 3 practical ‘business’ advice tips for embracing AI in your business: 1️⃣ Start Small. Focus on a few high-impact businesses cases based on needs within your business that you have identified. Don’t chase flashy bells-and-whistles, look for opportunities that will actually save you TIME + MONEY. 2️⃣ Leverage Affordable, Pre-Built Tools You don’t need a custom solution for everything (I know, we LOVE to think that our business is so unique that we are the exception). Many of the platforms you are already using are probably integrating AI-based features. Start there. 3️⃣ Upskill Your Team Instead of Outsourcing Everything Give your existing staff access to AI tools and empower them to experiment. They know their workflows and their pain points best. When you do eventually find a need to outsource some custom AI work, you will have in-house buy-in and effortless adoption of new tools. #digitalevolution #technology #growingabusiness #businesstechnology #CEO #NewTechnology #TechnologyEnablement #Efficiency #CompetitiveAdvantage #AI #ArtificialIntelligence

Melissa McGinty

I help SaaS founders scale clean, fixing what’s broken before it breaks your valuation.

1w

Great advice, Jay. I'd add a #4 - think strategically about your data beyond just privacy and security. Data is becoming a revenue asset, not just a compliance burden. Smart companies are already building monetization models around secure data access. The operational frameworks you build today for AI adoption will determine whether you can capitalize on these opportunities tomorrow. Companies like Synovient are pioneering this approach - turning data protection into competitive advantage.

Right on Jay Jung! But be safe. Pay for the license, and click the right privacy buttons! Your data is your data. #protectit But definitely get into it. https://www.businessinsider.com/chatgpt-companies-issued-bans-restrictions-openai-ai-amazon-apple-2023-7

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Adrian Bray

Helping Businesses Unlock Business Potential | Achieving Higher Valuations | Crafting Legacies through Successful Exits and Transitions | Preserving Equity for Sustainable Success | Where Are You Going Next! | Let's Talk

1w

20% of Middle Market will spend their investment dollars on AI separate to IT in the next 12 months according to the national center for the middle market. Education and managing the risk of AI are key elements and no different to prior waves of technology - this is just more accessible and available regardless of organization size. Many corporates have already already invested in both productivity leverage and growth - e.g. global beer company used AI to determine winning flavors from yeasts saving years in R&D trial and error.

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