Another Crazy Day in AI: The most promising generative AI use cases in business

Hello, AI Enthusiasts.

The weekend is just around the corner, and we’re here to help you make it there with some captivating reads.

Dive into today’s newsletter and find something to inspire your evening.

Here's another crazy day in AI:

• Gen AI means business: 7 real-world applications

• Canva expands with Leonardo AI

• Comparing Siri and ChatGPT Voice

• Some AI tools to try out

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TODAY'S FEATURED ITEM: The most promising GenAI use cases in business

Image credit: charlesdeluvio / Unsplash

Ever catch yourself wondering how businesses are actually putting generative AI to work?

It's not just hype - some companies are finding real value in this technology.

In a recent article for CIO, Senior Writer Grant Gross explores how companies are putting generative AI to work in meaningful ways. While many companies are still figuring out how to effectively implement this technology, some clear frontrunners are emerging in terms of practical applications.

Let's break down the most promising use cases:

1. Advanced Chatbots: Modern gen AI chatbots provide more natural-sounding interactions and efficiently handle customer service tasks, as seen with companies like Bolt and Deutsche Telekom.

2. Digital Assistants: Tools from Microsoft and Google streamline tasks such as document creation, email summarization, and supply chain management.

3. Coding Assistants: Gen AI helps programmers by generating code and keeping them focused, particularly benefiting web development projects.

4. Marketing Support: AI enhances content creation, market analysis, and personalized marketing, improving efficiency and insights.

5. Drug Discovery: AI accelerates the modeling of molecules and prediction of drug interactions, promising faster development of new medications.

6. Cybersecurity and Fraud Detection: AI strengthens cybersecurity measures and predicts fraudulent activities by analyzing user behavior patterns.

7. Business Process Augmentation: AI improves workflows in industries like finance, insurance, and legal services, enhancing efficiency and decision-making.

As we've seen, generative AI isn't just a futuristic concept – it's already making waves across industries. But here's the million-dollar question: What does this mean for you and your business?

Think of gen AI as a powerful new tool in your business toolkit. Like any tool, its value lies in how you use it. Some companies are already sprinting ahead, using AI to supercharge their operations and outpace competitors. Others are still cautiously dipping their toes in the water. Where do you stand?

Read the full article here.

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OTHER INTERESTING AI HIGHLIGHTS:

Canva expands with Leonardo AI

/Ben Wodecki, Jr. Editor on AI Business

Design application Canva announced plans to acquire the image generator and AI creative platform Leonardo AI. Canva plans to integrate Leonardo's Phoenix model into its Magic Media tool, enhancing AI image and video generation capabilities. Leonardo will continue to operate independently, building on its existing products while ensuring no user content is shared without opt-in. This acquisition follows Canva's purchase of the creative design platform Affinity in March.

Read more here.

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Comparing Siri and ChatGPT Voice

/Ethan Mollick, One Useful Thing

Ethan Mollick discusses his experiences with ChatGPT's new Advanced Voice mode and the new AI-powered Siri. While Siri remains a privacy-focused Copilot, using a small AI model on-device, ChatGPT Voice offers a more powerful and interactive experience, demonstrating the divide between narrow, specialized AIs and more general, multimodal systems. This comparison highlights different philosophies in AI development, with implications for future AI interactions.

Read more here.

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SOME AI TOOLS TO TRY OUT:

• MaxAI.me: instantly compose, improve, summarize, translate, and reply to text with one click

• Extruct: automate company research with AI for real-time data and customizable workflows

• Toby: real-time speech translation for video calls across multiple languages and platforms

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That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.

Another Crazy Day in AI: A critical look at AI's claim to transform every industry

Hello, AI Enthusiasts.

Welcome to the Weekend! 🎉

We know you've been working hard all week, so here's some AI goodness to wrap up your Friday and get you ready for a great weekend.

Here's another crazy day in AI:

• Unpacking the promise of AI across industries

• OpenAI’s search engine debut—SearchGPT

• Google’s new AI model predicts climate trends faster

• Some AI tools to try out

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TODAY'S FEATURED ITEM: A critical look at AI's claim to transform all sectors

Canva Stock Photos

Are we truly on the edge of an AI-driven revolution, or is it just another overblown promise from tech giants?

Bernard Marr, in his article "Will AI Really Revolutionize Every Industry?" on Forbes, critically examines the sweeping claims about AI's potential impact across various sectors. He scrutinizes the hype surrounding AI’s transformative power, questioning whether the bold predictions are grounded in reality or just marketing strategies from powerful corporations. Marr assesses the realistic pace and extent of AI’s influence, contrasting it with the grandiose forecasts that dominate the conversation.

Key takeaways:

• AI's projected economic impact is substantial, with PwC predicting $15 trillion in global value by 2030.

• Significant AI-driven changes are anticipated across various sectors, including healthcare, finance, manufacturing, and retail.

• Many predictions are based on AI's potential rather than its current capabilities.

• While some industries show tangible AI benefits, others have yet to see widespread adoption.

• The long-term transformational impact of AI seems likely, drawing parallels with previous technological revolutions.

Ideas to consider:

• Trust and adoption: How can we address public skepticism and build trust in AI technologies?

• Regulatory landscape: What policies and regulations are needed to ensure responsible AI development and implementation?

• Technical challenges: How can issues like AI hallucination and bias be effectively addressed?

• Industry-specific impacts: Which sectors are likely to see the most immediate and significant changes due to AI?

• Workforce implications: How can we prepare for potential job market disruptions and new skill requirements?

• Ethical considerations: What ethical frameworks should guide AI development and deployment?

• Realistic timelines: How can we set realistic expectations for AI integration across various industries?

There's no doubt AI's got some serious potential to shake things up across industries, but it's important to stay realistic about its journey. The path to widespread AI adoption may be slower than hyped, but its long-term impact is undeniable.

We think the key is to stay in the loop and keep a critical eye on what's really happening with AI. That way, we can all play a part in steering this ship towards a future where we're reaping the benefits and not just dealing with the headaches.

Let's get excited about what AI can do, but let's also keep our feet on the ground. There's still a lot of work to be done, and we're just at the beginning of this wild ride.

Read the full article here.

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OTHER INTERESTING AI HIGHLIGHTS:

OpenAI’s search engine debut—SearchGPT

/Kyle Wiggers, TechCrunch

OpenAI is stepping into the search engine arena with SearchGPT, a new tool designed to provide timely answers and rich web content directly from search queries. Unlike traditional search engines, SearchGPT incorporates real-time web information and allows users to explore related searches. With integration planned into ChatGPT, this tool aims to streamline web searches and improve user experience while addressing concerns about plagiarism and content cannibalism in AI-generated overviews.

Read more here.

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Google’s new AI model predicts climate trends faster

/Helena Kudiabor, Nature

Google's latest advancement, NeuralGCM, merges traditional weather forecasting with machine learning to offer precise weather predictions and climate projections. This hybrid model promises faster, more energy-efficient forecasts and excels in long-term climate predictions. NeuralGCM outperforms existing models, including GCMs and other machine-learning tools, in accuracy and reliability for predicting extreme weather events, potentially transforming climate preparedness and decision-making.

Read more here.

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SOME AI TOOLS TO TRY OUT:

• Lately: elevate your content with the world’s first Neuroscience-Driven AI™ Deep Social platform

• Undermind: AI assistant that sifts through academic papers to find precise, complex information for you

• Food Mood: get meal inspiration and create new recipes by blending two cuisines with Google AI

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That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This not only enriches our content but also keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.

Another Crazy Day in AI: The ultimate AI glossary for the confused

Hello, AI Enthusiasts.

We’re halfway through the week and there’s a lot to be enthusiastic about.

Let’s embrace the midweek moment to stay informed and inspired by the future of artificial intelligence.

Here's another crazy day in AI:

• The AI cheat sheet to understand key terms and concept

• Top tips for effective ChatGPT Prompts

• New CSAIL research on LLMs: Overestimating AI Reasoning Skills

• Some AI tools to try out

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TODAY'S FEATURED ITEM: Here's the ultimate AI glossary for the confused

Canva AI image generator

Confused by AI jargon? Don't worry, you're not the only one scratching your head!

With AI buzzwords popping up everywhere, it’s easy to get overwhelmed by the terminology. Jay Peters from The Verge has crafted an insightful guide to help clear up the confusion. His article breaks down the essential AI terms and concepts, making this complex field much easier to grasp.

Highlights:

• AI basics: Artificial Intelligence, Machine Learning, and Deep Learning explained

• Key AI models: Large Language Models (LLMs), Diffusion Models, and Foundation Models

• Important AI concepts: Training, Parameters, Tokens, and Neural Networks

• AI challenges: Hallucinations and Bias in AI systems

• Hardware for AI: Nvidia's H100 chip, Neural Processing Units (NPUs), and TOPS

• Major AI players: OpenAI, Microsoft, Google, Meta, Apple, Anthropic, and others

• AI applications: ChatGPT, Copilot, Gemini, Claude, and Grok

• Emerging AI technologies: AGI, RAG, and Transformers
  

Remember, in today's fast-paced tech world, staying informed isn't just for the geeks anymore. By getting to grips with AI lingo, you're equipping yourself to understand and engage with a technology that's reshaping our world in countless ways. So go ahead, dive into that guide, and get ready to impress at your next dinner party - or just feel more confident navigating our AI-powered future!

Read the full article here.

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OTHER INTERESTING AI HIGHLIGHTS:

Essential tips for mastering ChatGPT Prompts

/Laura Ambrosino, LinkedIn

Laura Ambrosino offers a practical guide to enhancing your interactions with ChatGPT based on her six months of experience. She emphasizes the importance of clarity and specificity in prompts, the need to provide relevant context, and the benefits of breaking down complex tasks into simpler components. Ambrosino also highlights the value of taking your time to refine prompts and leveraging collaboration to improve results.

Read more here.

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What the new CSAIL research learned about the limits of AI reasoning

/Rachel Gordon, MIT CSAIL, MIT News

Researchers at MIT CSAIL have uncovered that the reasoning abilities of large language models (LLMs) are frequently overestimated. Their study reveals that while LLMs perform well on familiar tasks, they struggle significantly with novel or altered scenarios, suggesting that their apparent intelligence is often due to memorization rather than true reasoning. This research challenges the perception of LLMs as versatile problem-solvers and highlights the need for more varied testing environments to better understand their limitations and potential.

Read more here.

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SOME AI TOOLS TO TRY OUT:

• Arcane: automate LinkedIn posts, research, and content creation

• Didero: automate supply chain tasks and workflows

• Gandalf: test and refine your prompting skills with LLMs

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That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This not only enriches our content but also keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.