1 in 4 Companies Ban GenAI

☕️ Greetings, and welcome to my daily dive into the Generative AI landscape.

In today’s issue:

• ChatGPT is leaking passwords from private conversations of its users, Ars reader says

• GenAI is moving to your smartphone, PC, and car — here’s why

• Most cloud-based GenAI performance stinks

• Navigating Generative AI: Why CDOs and CHROs Must Collaborate for the Future Workforce

• And more

🔔 Please forward this newsletter to your friends and team members and invite them to join. This will help me grow my reach. Thanks, Qamar.

🗞️ 1 in 4 Companies Ban GenAI

Generative artificial intelligence is facing a surge in data privacy and security concerns, with 61% of surveyed privacy and security professionals reporting that their organizations control employee usage of GenAI tools. An additional 63% restrict the type of data fed into these tools, and 27% have temporarily banned GenAI applications. Cisco predicts that these controls will adapt as GenAI technology evolves rapidly. While there's optimism for breakthroughs, concerns persist. Major companies like JPMorgan Chase and Apple have blocked ChatGPT's internal use due to privacy and security worries. This underscores the growing importance of cybersecurity and data security in AI adoption.

Reference: One in four companies ban GenAI

🗞️ TRENDS

The year 2024 is witnessing a remarkable surge in AI-driven transformations across various sectors. This summary highlights the top 10 AI trends of 2024, offering insights into how artificial intelligence is reshaping industries and creative endeavors:

Trends:

1. AI-Driven Customization in Graphic Design: AI tools are revolutionizing graphic design, enabling personalized and time-saving design elements.

2. Enhanced Content Creation with GPT-4: OpenAI's GPT-4 is empowering content creators with advanced language understanding and generation capabilities.

3. Breakthroughs in AI-Powered Music Composition: AI is assisting composers and producers by understanding and replicating complex musical styles.

4. Virtual Reality (VR) and AI Integration: AI integration with VR is creating immersive and personalized experiences in gaming and film.

5. Ethical and Sustainable Design through AI: AI is promoting ethical design practices by optimizing resource use and reducing waste.

6. Customized Generative AI Models for Niche Markets: AI models are tailored to specific industries, offering better performance and data privacy.

7. Increased Focus on AI Governance and Compliance: Organizations are investing in AI governance frameworks to manage risks and ensure compliance.

8. The Rise of Multimodal and Open-Source AI Models: Diverse AI models combining text, images, and audio are democratizing AI development.

9. Quantum AI: Revolutionizing Data Processing and Problem-Solving: Quantum AI is enhancing AI capabilities with quantum computing.

10. Generative AI's Evolution in Content Creation: AI continues to evolve in text, image, and music generation, extending into new domains like video and music creation.

Reference: The Top 10 AI Trends of 2024 

🗞️ IMPACT (Economy, Workforce, Culture, Life)

Generative AI adoption in M&A processes currently stands at 16%, but it's expected to surge to 80% in the next three years. Early adopters, mainly in tech, healthcare, and finance, leverage generative AI for idea generation and data review, reaping benefits like time savings and improved focus. However, challenges include balancing the time invested with the time saved and ensuring data accuracy. To succeed with generative AI, companies should target areas with high manual effort, prepare data for sustainable differentiation, and mitigate risks through careful management. Remember, generative AI enhances but doesn't replace skilled M&A practitioners.

Reference: Generative AI in M&A: Where Hope Meets Hype

🗞️ OPINION (Opinion, Analysis, Reviews, Ideas)

Generative AI is reshaping industries, with 60% of organizations already adopting it, according to McKinsey. A vital imperative is preparing the workforce, requiring a collaborative effort between Chief Data Officers (CDOs) and Chief Human Resources Officers (CHROs). This partnership identifies crucial skill sets, promotes data literacy, and offers personalized training. Learning agility becomes paramount in this ever-evolving tech landscape. Together, CDOs and CHROs proactively address changing roles and retain top talent, ensuring generative AI strategies align with the organizational vision. This alliance is essential as we navigate the generative AI landscape, fostering a skilled and adaptable workforce.

Reference: Navigating Generative AI: Why CDOs and CHROs Must Collaborate for the Future Workforce

🗞️ LEARNING (Tools, Frameworks, Skills, Guides, Research)

Research: LLMs as On-demand Customizable Service (arXiv:2401.16577 [cs.CL])

Large Language Models (LLMs) exhibit remarkable language understanding and generation skills but face challenges like resource demands and scalability. Authors propose a hierarchical, distributed LLM architecture. This approach enhances LLM accessibility on diverse platforms, from laptops to IoT devices, using a layered model. Users can access LLMs as customizable services, optimizing resource usage for their specific needs. This innovation has the potential to democratize LLM usage, fostering advancements in AI technology.

The following AI image generators cater to different needs, including quality, customization, cost-effectiveness, and commercial use, so choose the one that aligns with your specific requirements. Stay updated with the evolving AI landscape for the latest options.

• Image Creator from Microsoft Designer:

  • Best overall AI image generator.

  • Powered by DALL-E 3 for high-quality results.

  • Free and accessible via Copilot, browser, and mobile.

  • Convenient and efficient for various applications.

• DALL-E 2 by OpenAI:

  • Known for accuracy, speed, and cost-effectiveness.

  • Ideal for artists, designers, and content creators.

  • Allows detailed input and generates four images per credit.

• DreamStudio by Stability AI:

  • Best for customization.

  • Offers intuitive UI with various customization options.

  • Includes image ratio adjustments and "negative prompt" feature.

• Dream by WOMBO:

  • Top choice for mobile users.

  • Provides multiple templates and design styles.

  • User-friendly app for creative AI image generation.

• Craiyon:

  • Budget-friendly AI art generator.

  • Free with unlimited prompts.

  • Straightforward interface, suitable for beginners.

• Midjourney:

  • Focuses on image quality.

  • Known for high-quality and crystal-clear images.

  • Features a supportive Discord community.

• Generative AI by Getty Images:

  • Ideal for businesses.

  • Generates images using Getty Images' content.

  • Ensures commercial use without copyright concerns.

  • Compensates contributors used in training models.

Reference: zdnet.com (2024). The best AI image generators to try right now

🗞️ BUSINESS (Use Cases, Industry spotlight)

Generative AI use cases:

1. Data Augmentation:

   • Enhances dataset quality through artificial augmentation, contributing to improved performance of deep learning algorithms.

2. Algorithm Creation:

   • Automates complex algorithmic tasks, saving resources and time, and enabling AI to identify promising algorithm contributions.

3. Text Creation:

   • Generates innovative content including article summaries, product descriptions, and complete blog posts on demand.

4. Designing Neural Networks:

   • Assists in determining optimal configurations for neural network links, enhancing their task-specific performance.

5. Healthcare Applications:

   • Converts CT scans and X-rays into realistic images for improved diagnostics.

   • Uses Generative Adversarial Networks for detailed internal body imaging, aiding in early disease detection.

6. Retail and Fashion Industry:

   • Predicts trends, generates new styles, and creates clothing lines.

   • Analyzes fashion trends and consumer preferences for data-driven design processes.

7. Marketing:

   • Aids in client segmentation and predicts responses to marketing campaigns and advertisements.

   • Enhances outbound marketing messages through synthetic generation.

8. Customer Service Enhancement:

   • Automates routine processes like responding to FAQs.

   • Improves customer engagement through personalized marketing campaigns.

9. Supply Chain Optimization:

   • Analyzes data, weather patterns, market conditions, and geopolitical situations to identify supply chain risks.

   • Streamlines inventory management and shipping routes.

10. E-commerce Innovations:

    • Makes personalized product recommendations.

    • Enhances cross-selling and up-selling at checkout stages.

🗞️ LATEST FROM THE WEB

ChatGPT is leaking passwords from private conversations of its users, Ars reader says: Recent reports have emerged about ChatGPT inadvertently exposing private conversations, including sensitive information like login credentials. In one case, a user's troubleshooting dialogue for a pharmacy prescription drug portal was leaked, revealing usernames, passwords, and candid remarks about software frustrations. This incident, among others, highlights the risks of sharing personal details with AI services. OpenAI, the creator of ChatGPT, previously encountered a similar issue where user chat histories were mistakenly displayed to others. This phenomenon isn't new to the internet; similar breaches have occurred due to "middlebox" devices, which cache data for performance purposes but can sometimes cause mismatches, leading to data exposure. OpenAI is currently investigating these recent incidents. Read more at arstechnica.com.

GenAI is moving to your smartphone, PC, and car — here’s why: GenAI, predominantly hosted in large data centers, faces challenges like high GPU use and processor scarcity. The industry is pivoting towards edge devices (PCs, smartphones) for genAI processing to alleviate these issues. By 2025, over half of enterprise data will be processed outside data centers. Companies like Intel and AMD are focusing on SoC chiplets and NPUs for edge AI. This shift signifies a major tech transformation, integrating genAI across various industries and devices for enhanced speed and security. Read more at computerworld.com.

Tech Mahindra’s Nikhil Malhotra on Making Foundational Models for India: Tech Mahindra's Project Indus, led by CIO Nikhil Malhotra, aims to develop Hindi language models catering to various dialects like Bhojpuri, Kangdi, and more. Unlike others built on existing models, Indus is constructed from scratch, focusing on underrepresented Indic languages. It tackles data challenges for low-resource languages, especially Hindi's 49 dialects. The project, which began last year, has collected a vast dataset, including 10 billion tokens, using diverse methods. It employs a decoder-architecture-based transformer, unique for its Hindi-only tokenization. Indus aims to empower rural communities and plans future models for other Indian languages, emphasizing India's potential in AI innovation. Read more at analyticsindiamag.com.

Most cloud-based GenAI performance stinks: Generative AI systems are complex and challenging to build, deploy, and operate. Their performance often becomes an issue post-deployment, usually due to a lack of understanding and tuning during development. These systems, comprising various distributed components, face issues from overcomplexity and suboptimal component performance. AI model tuning requires expertise, often lacking, and vendor-established best practices are insufficient. Security and regulatory compliance add layers of complexity, affecting performance. Best practices include automation for scaling, serverless computing, regular load testing, continuous model updates, and leveraging cloud provider expertise. The future focus on generative AI performance is likely, considering its growing importance and resource investment. Read more at infoworld.com.

OpenAI Partners With Common Sense Media to Make ChatGPT Family Friendly: OpenAI and Common Sense Media are collaborating to enhance the safety and benefits of AI for teens and families. They plan to develop AI guidelines, educational resources, and a family-friendly section in the GPT Store, guided by Common Sense standards. OpenAI's CEO, Sam Altman, emphasizes the partnership's role in ensuring safe, confident use of their tools by families and teens. Common Sense Media, known for reviewing digital content for kids, aims to help educate about responsible AI use and prevent unintended consequences. This initiative aligns with OpenAI's recent launch of the GPT Store, designed to cater to various needs, including a kids' section for educational purposes. Read more at analyticsindiamag.com.

In partnership with Amazon Web Services

🔔 Architecting continuous Observability from development to production

Save your spot:  February 14, 2024 | 11:00 AM PDT | 2:00 PM EDT

Join this webinar to explore how to establish effective Observability in dynamic, continuously deployed, and decoupled systems. You’ll discover where and what to instrument across your SDLC and how to leverage clear insights in today's evolving tech environment.

You will learn how to:

▶ Choose an optimal data type and service to monitor the progression of your applications throughout the SDLC.
▶ Enhance your ability to store, query, and visualize system telemetry for more effective insights into your systems.
▶ Enable transparency and address issues proactively before they impact operations to systematically enhance value delivery and resiliency.
▶ Use tools from AWS and the broader DevOps tool landscape using AWS Marketplace to establish a comprehensive Observability practice.

Join my community by subscribing to my newsletter below: