Generative AI Strategy; Microsoft Adds AI Assistant to Windows; ChatGPT will be an Image Generator; Google Gemini will be trained on YouTube Data;

Microsoft announces AI Copilot for Windows ??

More and more AI ( Gen AI) is getting integrated into our daily lives, here is what you need to know:

• New Features:"Sound Like Me" feature: Analyze the user's writing style.Enhanced "copy and paste" functionality with "copy, paste and do."Can compose emails in the user's style in Microsoft Outlook.Integration in apps like Microsoft Paint, Photos, Word, and Excel. Copilot can work across devices, using data from phones to draft messages.The vision of Copilot as a personal assistant retrieving essential info.
• Bing Connection:Similar interface between the new Copilot and the OpenAI-powered Bing Chat."Temperature" settings to adjust AI creativity.Over a billion chats were conducted on Bing. New Microsoft Shopping service integrated into Bing. Bing's personalization features remember previous user chats.
• DALL-E 3 Integration:Bing Image Creator web app updated to DALL-E 3. New capabilities of DALL-E 3 integrated into the Microsoft Designer app.

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Generative AI: The Multi-Billion Dollar Game-Changer! ??

It’s been 9 months since ChatGPT launched. Within 7 months, it became the fastest consumer application to hit 100 million monthly active users.

Top 6 Takeaways:

?? Most top products have been developed from scratch with generative AI.

?? ChatGPT is leading, but competitors are closing in.

??? LLM assistants like ChatGPT are popular, but we're seeing a rise in companionship & and creative tools.

?? Some have taken the lead, but there's still a lot to compete for.

?? Most top products grow organically, and yes, users are ready to pay!

?? Mobile apps are the next frontier in generative AI.

So, How Can Businesses Adapt?

?? Strategy & Implementation:

Establish clear policies on generative AI use across your company.

Classify your business:

?? Use public models for cost efficiency.

?? Integrate existing models for customization & and scalability.

?? Invest in unique models for specific needs.

Understand financial implications: model costs, usage fees, and oversight.

Speed up code development, manage debt better, and automate routine tasks with GenAI.

??? Infrastructure & Tech:

Integrate generative AI seamlessly into your current tech setup.

Upgrade to support both generative AI & and existing models.

Ensure your data architecture processes all types of data.

?? Team & Talent:

Form a cross-functional GenAI team to strategize & and choose tools/services.

Opt for open-source or existing services to save costs.

Upskill key roles like MLOps engineers, ethical experts, etc.

Explore tailored training programs.

?? Safety & Ethics:

Recognize new risks & and have ongoing practices to manage them.

Connect GenAI models with internal data for context.

Let's discuss: How are you adapting to the Generative AI wave? ??

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Generative AI, like ChatGPT, is revolutionizing the future of medicine and drug discovery for cancer, Alzheimer's, and more.??

For example, Insilico Medicine's Pharma.AI platform has made significant strides, with its AI-designed drugs advancing to clinical trials and even obtaining FDA approvals.

Here are a couple of use cases that you should know and my Forbes article that just got published about "Gen AI in Drug discovery":

?Marketing and Sales:

Analyze consumer distribution for personalized plans/products.

Extract themes from customer feedback online.

Improve chatbots for coverage options understanding.

Draft materials for brokers, employers, ACA and Medicare Advantage members.

?Continuity of Care:

Summarize discharge info and post-acute care needs.

Generate care summaries for referrals.

Synthesize specialist notes for primary-care teams.

?Quality and Safety:

Recommend risk considerations based on medical history and literature.

?Value-based Care:

Improve documentation and create patient education resources.

Draft standard care and carve-out contracts.

?Network and Market Insights:

Autogenerate provider summaries by specialty.

Summarize market performance.

?Reimbursement:

Develop prior authorization documentation.

Generate lists of conditions and codes.

Identify coding errors in claims; automate coding checks.

?Clinical Operations:

Generate post-visit instructions and care coordination notes.

Develop educational materials and training for clinicians.

Corporate Functions:

?Finance: Generate financial reports. Other: Reports for legal, compliance, and regulatory departments.

?Clinical Analytics: Leverage language for analytics insights.Automate repetitive tasks using AI.

?Consumer: Analyze feedback and create personalized care instructions. Improve chatbots for member services. Autogenerate notifications.

Bringing Gen AI to Healthcare Recommendations:

?Evaluate the Landscape:

Cross-functional group to determine gen AI value.

Avoid ad hoc AI applications.

?Size Up the Data:

Prioritize high-quality datasets.

Assess the current AI tech stack.

Ensure data processing within secure boundaries.

?Address Risks and Bias:

Protect personal information.

Counterbalance potential biases in gen AI.

Integrate gen AI with care to prevent errors.

Maintain a human in the loop.

Establish risk and legal frameworks for gen AI application.

?Invest in People and Partnerships:

Human roles will evolve; maintain a human-in-the-loop approach.

Upskill employees on gen AI platforms.

Make gen AI tools user-friendly for frontline staff.

?Potential Impact of Gen AI in Healthcare:

Gen AI can revolutionize the healthcare industry.

Possible integration with VR, AR, and other AI forms.

Examples include branded avatars for patient interaction and treatment comparisons with historical patient data.

[??] That's why HR needs AI!

Thanks for your support, See you next week. Steve