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Decision Intelligence; Top AI Tools for Productivity
Adobe launches AI assistant that can search and summarize PDFs
Ishaan Mahajan
February 23, 2024
Welcome to learning edition of the Data Pragmatist, your dose of all things data science and AI.
📖 Estimated Reading Time: 5 minutes. Missed our previous editions?
Today we are twe delve into the parallels between avoiding lions on the savanna, steering AI projects ethically, and designing efficient data warehouses.. As part of our learning series, Top AI Tools for Productivity.
📝 Top AI Tools for Productivity
AI Chatbots:
ChatGPT: Utilizes OpenAI's GPT-3 and GPT-4 models for conversational interactions and advanced reasoning.
Claude 2: Anthropic's chatbot with impressive memory, ideal for in-depth discussions or question-based interactions.
Bing AI (Microsoft Copilot): Offers web search capabilities and image generation, connected to DALL·E 3 for visual variations.
AI Apps for Content Creation:
Jasper: High-volume content creation platform with numerous templates and research capabilities.
Copy.ai: Provides multiple options for generated content, assisting with tasks like copywriting and content ideation.
Anyword: Helps marketers create content step-by-step, from generating titles to finalizing pieces.
🧠 Understanding Decision Intelligence
Decision-making is a fundamental aspect of human existence, influencing everything from survival instincts in the wilderness to the responsible leadership of artificial intelligence (AI) projects.
The Psychology of Survival: Lions on the Savanna
Surviving encounters with lions on the savanna demands quick, instinctive decisions. Human beings rely on cognitive heuristics, or mental shortcuts, to assess threats rapidly and respond accordingly. These heuristics, while effective for survival, can also lead to biases and suboptimal decisions.
Responsible AI Leadership: Navigating Ethical Terrain
Leading AI projects requires a nuanced understanding of human decision-making, similar to navigating the savanna. Responsible AI leadership involves recognizing and mitigating biases in AI systems, just as individuals must overcome cognitive biases when facing threats in the wild. Decision intelligence provides the framework for ethical AI development, ensuring that human values and objectives guide technological advancements.
Challenges of Designing Data Warehouses: Building Foundations for Informed Decisions
Data warehouses serve as the infrastructure for informed decision-making in the digital realm. Like navigating the savanna or leading AI projects, designing data warehouses entails anticipating future needs and managing uncertainty. Data engineers must build scalable architectures capable of accommodating diverse data types while ensuring reliability and accessibility.
Decision Intelligence: Bridging the Gap
Decision intelligence emerges as the common thread connecting these disparate realms of decision-making. By integrating insights from applied data science, social science, and managerial science, decision intelligence empowers individuals and organizations to make better decisions at any scale.
🤖 Google launches two new AI models LINK
Google has unveiled Gemma 2B and 7B, two new open-source AI models derived from its larger Gemini model, aiming to provide developers more freedom for smaller applications such as simple chatbots or summarizations.
Gemma models, despite being smaller, are designed to be efficient and cost-effective, boasting significant performance on key benchmarks which allows them to run on personal computing devices.
Unlike the closed Gemini model, Gemma is open source, making it accessible for a wider range of experimentation and development, and comes with a 'responsible AI toolkit' to help manage its open nature.
🔍 Adobe launches AI assistant that can search and summarize PDFs LINK
Adobe introduced an AI assistant in its Reader and Acrobat applications that can generate summaries, answer questions, and provide suggestions on PDFs and other documents, aiming to streamline information digestion.
The AI assistant, presently in beta phase, is integrated directly into Acrobat with imminent availability in Reader, and Adobe intends to introduce a paid subscription model for the tool post-beta.
Adobe's AI assistant distinguishes itself by being a built-in feature that can produce overviews, assist with conversational queries, generate verifiable citations, and facilitate content creation for various formats without the need for uploading PDFs.
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