Send Everyday AI and Jordan a text message AI + all your data = good move or bad move? Sure, AI can do data crunching wonders when we pair the two together. But, what challenges and conflicts should we be aware of before doing so? Aakash Indurkhya, Head of Product at Virtualitics, joins us to discuss AI and data analysis.

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Join the discussion: Ask Jordan and Aakash questions on AI and data

Related Episodes:
Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our world
Ep 142: AI is Changing Data Analysis: Insider Tips

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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Topics Covered in This Episode:
1. Generative AI Technology and Data Visualization 
2. Role of AI in Data Analysis
3. Statistics Paradox and Data Collection Challenges
4. Importance of Hands-On Experience and Collaboration

Timestamps:
01:30 Daily AI news
04:30 About Aakash and Virtualitics
08:51 Stress of data utilization despite its value.
10:39 Data layers may disagree, causing decision paralysis.
15:33 Generative AI aids human-driven data analytics.
17:38 RAG concept crucial for tracing data decisions.
24:06 Beginning data analysis requires tools, exploration, openness.
26:43 Future of jobs with technology, data and humans.
29:21 Communicate with experts for effective problem-solving.

Keywords:
data in the age of generative AI, large language models, OpenAI model spec, Google DeepMind AlphaFold 3, protein behavior prediction, Zapier Central, AI bots without coding, Virtualisix, data-driven decisions, industry-specific decision intelligence, data abundance paradox, ChatGPT technology, changes in data collection, Apple, Google, maintenance data for HVAC systems, human role in data analysis, industry-specific expertise, generative AI in data visualization, RAG technology, conversational interfaces in generative AI, sensitive data handling, GPT language models, Virtualitix AI platform, decision intelligence apps, data-driven decision paradox, decision congestion, common language in data analysis, data quality, decision socialization.

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EP 268: AI’s Data-Driven Decision Paradox

The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI.&nbsp;

The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who's now the owner of a boutique digital strategy company with 20 years of martech experience.&nbsp;
&nbsp;
Our main focus is to help you keep up with AI trends to make your job easier. Get your work done faster. Increase your output. &nbsp;

- Sign up for our free Prime Prompt Polish ChatGPT course: https://podPPP.com
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- Connect with Jordan on LinkedIn: https://www.linkedin.com/in/jordanwilson04/

In the Everyday AI podcast, we'll cover all things artificial intelligence, machine learning, and practical tips on how to use both in your daily life. We'll include a touch on a variety of topics, software and applications. We may be covering the latest AI news from Microsoft, Google, Facebook, Adobe and social channels like Snapchat, Tiktok, and Instagram. Or, we may be diving into software like ChatGPT, Midjourney, Bard, or Runway ML.&nbsp;






Technology

Tech News

Podcasting

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Investing

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Management & Marketing

Business News

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News

Entrepreneurship

Send Everyday AI and Jordan a text message Prompting a large language model requires a bunch of tech know-how right?

↳ Super structured inputs
↳ RAG
↳ Fine-tuning

Meh. Not so much. The best way to prompt your way to better results? Flex your domain expertise. Jared Zoneraich, Founder of PromptLayer, joins us to discuss.

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Join the discussion: Ask Jordan and Jared questions on building AI

Related Episodes: Ep 164: ChatGPT Doesn’t Suck. Your Prompts Do.
Ep 179: Mastering Prompts With An OpenAI Ambassador – The One Secret Skill Revealed

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Importance of prompt engineering
2. Role of non-technical domain experts
3. Evolving landscape of AI technology
4. Future concerns and preparations

Timestamps:
01:35 Daily AI news
04:32 About Jared and PromptLayer
07:19 Creating successful AI product hinges on expertise.
08:45 Simplifying AI development and retaining human input.
11:50 Small models vs big models: implications for AI.
17:10 LLMs elevate conversation and knowledge sharing.
21:12 Product success depends on voice and connection.
22:29 Rapid adaptation to new technology creates disparity.
27:02 Prepare AI models, modular approach, conversational application.
29:38 Key steps in maximizing AI model productivity.

Keywords:
Jordan Wilson, prompt engineering, machine learning, Pope Francis, ethical AI, G7 summit, AI regulation, General Paul Nakasone, OpenAI, cybersecurity, Microsoft, recall feature, privacy advocates, Jared Zoneraich, Prompt Lair, nontechnical domain experts, AI products, AI services, Cursor, Copilot, Hevia, ParentLab, Gorgias, communication skills, large language models, commoditization of knowledge, computational thinking, AI revolution, AI applications, human expertise in AI.

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EP 294: Why the Future of AI Will Be Built by Non-Technical Domain Experts

Send Everyday AI and Jordan a text message When we think AI and jobs, we think displacement. Like... how many jobs might AI take from us humans? But what if we start flipping that script a bit. Why? If we leverage AI in the right ways, it can actually be a driver for local and regional economic development. Joining us to discuss is Xiaochen Zhang, the Chief Responsible AI Officer &. Executive Director AI 2030.
 
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Join the discussion: Ask Jordan and Xiaochen questions on AI and economics

Related Episodes: Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
Ep 224: AI and its Impact on Society – How it might look

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. AI in Local Economic Opportunities
2. Overcoming Challenges for AI Deployment in Cities
3. Specific Examples of AI Innovations
4. Impact of AI on Employment
5. AI Adoption Strategy in Business

Timestamps:
01:10 Daily AI news
03:50 About Xiaochen and AI 2030
06:07 AI will replace jobs, impacting security.
07:00 IMF report: 80 million jobs replaced, AI emergence
10:15 Utilize AI to enhance your business strategy.
15:03 AI's impact on oil industry is key.
17:46 engage externally, leadership enablement.
21:15 Leverage AI for collaborative industry models and growth.
26:04 Raise AI awareness, empower talent, innovate responsibly.

Keywords:
Chicago AI Week, AI innovation, community, collaboration, Everyday AI Show, AI newsletter, Jordan Wilson, Xiaochen Zhang, local economic opportunities, AI use cases, go-to-market strategy, AI branding, stakeholders, AI awareness, AI training, new economic opportunities, DeepMind, Harvard researchers, virtual rat, artificial brain, neuroscience research, Luma AI, Dream Machine, AI text to video tool, digital avatar, AI Steve, British parliament, AI 2030, job displacement, IMF reports

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EP 293: How AI Can Create New Economic Opportunities in Your City

Send Everyday AI and Jordan a text message AI: underhyped or overhyped? Have we fully realized the power of Generative AI and we're sitting at the top of the hype curve? Or, have we not even started to see and realize its potential? Jamal Khan, Head of Helix Center for Applied AI and Chief Growth and Innovation Officer Connection Inc, joins us to discuss.  
 
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Join the discussion: Ask Jordan and Jamal questions on AI

Related Episodes: Ep 257: GenAI – Turning trash into treasures?
Ep 232: Creating and Capturing Business Value with GenAI – Insights From HPE

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. AI and its impact on different industries
2. Significance and implementation of generative AI
3. Strategies for successful AI adoption within organizations
4. Challenges of AI implementation in organizations

Timestamps:
01:15 French AI startup Mistral secures €600M funding.
04:15 About Jamal and Connection
07:09 Democratization of artificial intelligence through conversational access.
10:12 AI is evolving with diverse applications.
13:15 Addressing real vs hype, ROI, skillsets, budgets.
18:51 AI's challenge, trust's importance in web applications.
23:00 Visionary conversation led to ongoing cultural shift.
24:36 Cultural ethos, small wins, and employee support.
28:02 Creating open, familial culture for employee connection.
32:27 AI, like electricity, impacts industries, creates opportunities.
34:01 Jamal shared insightful knowledge, delivery tips included.

Keywords:
Generative AI, Jordan Wilson, AI technology, US AI restrictions, China, advanced chip technology, OpenAI, Elon Musk, lawsuit, Nonprofit mission, French AI startup, Mistral, Funding, Jamal Khan, Helix Center For Applied AI, Connection Inc., AI democratization, AI tangibility, AI hype cycle, AI implementation, AI resources, skill sets, everydayai.com, AI transition, AI adoption, Initial core group, Square root principle, Chat GPT, Trust in AI, AI transformation.

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EP 292: Is AI Transformative or Have We Not Fully Grasped it Yet?

Send Everyday AI and Jordan a text message Apple's trying real hard to make 'Apple Intelligence' more important than actual Artificial Intelligence. Why? Let's be honest - Apple got some things right when it comes to AI. But it probably got more things wrong. 

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Related Episodes: Ep 286: Apple’s AI – Too little, too late?
EP 274: 7 things you need to know about GPT-4o and what OpenAI isn’t telling the truth about

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Apple Intelligence and Its Offerings
2. New and Improved Siri
3. ChatGPT Integration with Apple's AI
4. Criticisms and Disappointments with Apple's AI
5. Predictions and Speculations with Apple AI

Timestamps:
01:40 Daily AI news
05:01 Apple rebrands AI as Apple Intelligence
07:36 Apple's track record suggests future success.
11:47 Apple's 3 billion parameter model is small.
13:50 App turns sketches into images, offers cleanup tools.
19:07 Talking less to devices, using on-screen awareness.
22:35 Market reacts to Apple's business strategy change.
25:42 OpenAI releases base model, with added features.
26:49 Edge AI uses personal data, then private cloud.
31:14 AI helps prioritize important notifications over others.
36:23 AI use for internet, productivity, missed opportunities.
37:21 Apple Intelligence may just be a wrapper.
40:32 Siri's missing temperature and selective improvement criticism.
44:43 Skeptical about Apple's new AI assistant.
47:03 Siri suggests using ChatGPT for some tasks.
52:28 NVIDIA important, Apple may decline in rank.

Keywords:
Apple criticism, lack of innovation, AI announcements, stock price, Siri capabilities, natural language processing, Apple Intelligence features, reliance on OpenAI, integration with ChatGPT, ChatGPT Plus, Apple AI model, Siri improvements, on-screen awareness, personal context, privacy and data security, GPT 4 model, WWDC, Apple Intelligence, Meta's data privacy concerns, Microsoft recall feature, Elon Musk, semantic media, on-device AI, cloud computing, image model and generation, actions, password app, tiers of AI models, JAX and XLA, Genmoji.

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EP 291: Apple's AI Announcements: The good, the bad and what no one‘s talking about

Send Everyday AI and Jordan a text message This week could mark a turning point in the world of AI. Here's why: 

↪ Stay tuned for Apple's groundbreaking GenAI revelations at WWDC 2024.
↪ Discover why Elon Musk redirected NVIDIA chips from Tesla to xAI.
↪ Find out how NVIDIA just made a historic leap past Apple.
↪ And don't miss the details on the new AI video generator that could dethrone Sora

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More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Related Episodes: Ep 286: Apple’s AI – Too little, too late?
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
1. Apple's upcoming AI developments
2. NVIDIA mnarket cap
3. New AI text-to-video tool
4. Elon Musk reallocating NVIDIA AI chips
5. Cisco's $1 billion investment into AI
6. U.S. Antitrust Big Tech Investigation

Timestamps:
02:00 Elon Musk reallocates NVIDIA chips for supercomputer.
06:03 NVIDIA's market cap surged, stock split explained.
07:30 Nvidia's strong financials and plans for AI chip.
12:04 OpenAI restricted access, improving, making it safer.
14:42 Unverified video likely from new AI competitor.
18:01 Detailed observation of changing seasons and AI.
21:15 Concern regarding societal impacts of advanced AI.
25:15 DOJ to lead NVIDIA inquiry, FTC scrutinizes Microsoft.
28:29 NVIDIA CEO ahead in recognizing generative AI.
33:42 Apple fluctuates between utilizing own or OpenAI model.
37:03 Newer iPhones may have advanced AI features.
38:03 Siri can now interact with multiple apps.
41:25 Apple's announcement at WWDC is big.

Keywords:
Apple AI features, OpenAI GPT-4 technology, WWDC, generative AI, older iPhone models, partnership, Elon Musk, NVIDIA chips, Tesla, market cap, Kuaishou AI developments, federal regulators, Microsoft OpenAI, AI monopolistic practices, Cisco AI investment, NVIDIA partnership, daily AI newsletter, Soarer, Gigafactory of Compute, NVIDIA stock split, Rubin AI chip platform, advanced AI models misuse, disinformation in AI, Jordan Wilson, Sora and Cling AI models, anthropic cloud, Jensen Huang, Anthropic, kling, Sora.

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EP 268: AI’s Data-Driven Decision Paradox

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