3 New ways generative AI can help you search

☕️ Greetings. It's Thursday, August 3. I'm excited to bring you some incredible updates today. Get ready to dive into the latest AI trends and discover new developments. First time reading? join here! If you like my newsletter, please share it with your team. It will help me immensely.

🟥 Google has upgraded its AI-powered Search experience (SGE) to swiftly provide information with visuals, faster results, and better exploration. New features include:

1. Visuals: Images enhance understanding, and videos will soon be added for motion-based insights.

2. Speed: AI overviews are now generated twice as fast, ensuring quick access to information.

3. Exploration: Links to search results come with publication dates, aiding context, and we're refining ways to locate supporting web pages.

Test these features in Search Labs on the Google app (Android, iOS) or Chrome desktop.

🗞️ Today’s Highlights:

• EXECUTIVE — How can you increase competitiveness using AI

• IDEAS & QUESTIONS — The human decisions that shape generative AI: Who is accountable for what?

• LEARNING — 6 AI Learning Resource

• AI TOOLS — Zeda.io: AI-powered product discovery for customer-focused teams.

• INDUSTRY & FUNCTIONS — The Retail Renaissance: Unleashing the Trillion-Dollar Potential of Generative AI

• WORK — 9 Recruiting Tools

🗞️ EXECUTIVE

🟥 How can you increase competitiveness using AI

1. Set Clear Goals: Define your business objectives and challenges for using AI.

2. Collect Quality Data: Gather relevant and accurate data for AI training.

3. Choose AI Solutions: Select appropriate AI technologies based on your goals.

4. Preprocess Data: Clean and prepare data for AI model development.

5. Develop Models: Train AI models with proper algorithms and parameters.

6. Automation: Automate tasks to enhance efficiency and reduce errors.

7. Personalization: Use AI to offer tailored customer experiences.

8. Competitor Analysis: Employ AI for competitive insights.

9. Supply Chain: Optimize operations and inventory with AI.

10. Marketing and Sales: Implement AI for targeted strategies.

11. Risk Management: Utilize AI to assess and mitigate risks.

12. Continuous Learning: Keep AI models updated and refined.

13. Ethical Considerations: Adhere to ethics and privacy regulations.

14. Employee Training: Train staff to work effectively with AI.

15. Measure Results: Monitor AI impact using relevant KPIs.

Strategically integrating AI into your business can enhance competitiveness and lead to growth.

🟥 Cybersecurity

Torq Socrates is an AI-based cybersecurity solution offered by Torq, designed to automate security workflows within organizations. It utilizes open source Large Language AI Models (LLMs) and incorporates the organization's security protocols to autonomously handle tasks such as alert analysis, incident investigation, and response. The AI agent serves as a bridge between LLM capabilities and organizational data, leveraging public documents and security frameworks for contextualization. Socrates adapts its responses based on individual organization playbooks and is powered by the ReAct (Reason + Act) LLM approach. Notably, it employs a human-in-the-loop strategy, requiring human approval for potentially disruptive actions. Torq is showcasing Socrates at the Black Hat conference. Learn about Torq Socrates.

🟥 Blackstone Real Estate Income Trust (BREIT) is investing $8B in QTS data center expansion to capitalize on the growing demand driven by the AI arms race among tech giants like Microsoft, Google, Meta, and Amazon. The expansion aims to support the computing needs of large language models. QTS, acquired by Blackstone funds in 2021, has seen significant growth and plans to double its capacity with 16 new data centers. This move comes as part of BREIT's strategy, which involves selling assets in various sectors and meeting redemption requests from investors.

🗞️ IDEAS & QUESTIONS

🟥 The human decisions that shape generative AI: Who is accountable for what?

This article discusses how creators of generative AI, like ChatGPT, shape its abilities and impact. It highlights the two phases of production: pre-training (training AI on large data to predict language patterns) and fine-tuning (adapting AI for specific tasks). Pre-training involves decisions on data filtering, which affects AI's behavior and biases. Fine-tuning involves human feedback and raises questions about whose values are prioritized, the working conditions, and the qualifications of builders. Trustworthy AI requires transparency and accountability in both phases. The article plans to study the values behind pre-training data through interviews and analysis.

🗞️ LEARNING

🟥 AI Learning Resource

MIT Open Courseware – Free video lectures offer a comprehensive AI introduction. Understand knowledge representation, problem-solving, and learning. Explore AI's real-world applications.

Elements of AI – Online course overviewing AI's real-world applications. Gain insights into AI fundamentals, benefits, and risks. Learn to use AI in your work.

AI A-Z™: Master AI Construction – Tailored for AI, Machine Learning, and Deep Learning enthusiasts. Build AI from scratch, merge with OpenAI Gym, and optimize performance. Learn Q-Learning, Deep Q-Learning, Convolutional Q-Learning, A3C, create Self-Driving Cars, and solve real-world problems.

CS50’s Intro to AI – Dive into AI concepts and algorithms. Hands-on projects explore network exploration, data clustering, and more using Python.

Deep Blueberry: Deep Learning Book – A five-weekend course covering deep learning architectures like CNNs, LSTMs, GANs, and more.

Spinning Up in Deep Reinforcement Learning – Free OpenAI course introduces deep reinforcement learning terminology, algorithms, and theory. Transition from novice to researcher, explore essential papers, sample algorithms, and practice activities.

🟥 Neural network

The primer discusses various types of neural network cells and layers. It covers basic cells, convolutional and deconvolutional cells, pooling, interpolating, mean and standard deviation cells, recurrent cells, LSTM, and GRU cells. The concept of fully connected layers, layered architecture, convolutional connections, random connections, sparsely connected systems, and time-delayed connections is explained. The article provides insights into their functions and includes sample network visualizations.

Source/credit: Asimov Institute

🗞️ AI TOOLS

Zeda.io: AI-powered product discovery for customer-focused teams. Discover problems to solve for customers, decide what to build next based on actionable product intelligence, and create product strategies to drive business outcomes.

Memorable: High-accuracy AI to improve branding and the performance of every ad

Wope: New Era of Rank Tracking. Find out what's working and what's not to get more search traffic. Like an SEO consultant who can analyze millions of data.

Broadcast: Stop wasting time manually writing weekly updates. Quickly draft updates in Broadcast with AI and share on Slack and Email. Broadcast makes sending weekly updates fast, and simple.

Visual QR: Generate beautiful QR codes using AI.

Kickresume: Create a beautiful resume quickly with the help of artificial intelligence and our customizable templates. Impress your future employer with a perfect resume created in minutes.

Disclaimer: 1) The tool descriptions may include messaging from each tool site. 2) Please thoroughly read the site details before using and/or acquiring any of the tools listed above.

🗞️ INDUSTRY & FUNCTION

🟥 The Retail Renaissance: Unleashing the Trillion-Dollar Potential of Generative AI

According to a recent report by McKinsey, the retail industry has the potential to benefit greatly from generative AI, with an estimated additional value of around $310 billion. This value can be achieved by leveraging AI to improve various key functions such as marketing and customer interactions, thereby transforming the retail landscape. The impact of AI goes beyond changing business operations; it will also revolutionize the way consumers interact with brands. Retailers are projected to harness these advancements to develop more efficient marketing strategies, personalize customer interactions based on individual preferences, and ultimately boost revenue growth. The integration of AI in the retail sector will introduce a new dynamic between retailers and consumers, fostering an interactive and engaging shopping experience.

🗞️ WORK

🟥 Recruiting Tools

AI is transforming recruiting, using tools like Toptal, Turing, Manatal, Skillate, TurboHire, Talenture, Fetcher, SeekOut, and Zoho Recruit. They streamline hiring with features such as candidate sourcing, vetting, AI-powered insights, and diverse talent pipelines. These tools save time, enhance decision-making, and improve candidate experiences. Here is a recent article published on Unite.ai discussing the top 9 recruiting tools.

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