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Snowflake Build: the 4 biggest announcements on Cortex AI and more
- Snowflake announced new tools for Cortex AI, its fully managed offering for developing conversational AI apps.
- The company introduced Snowflake Intelligence, allowing users to create 'data agents' that can answer questions and take action across third-party platforms.
- Snowflake debuted Snowflake Open Catalog, a fully managed, hosted version of the Polaris catalog for indexing and organizing data.
- Snowflake enhanced security measures with features like Leaked Password Protection and Threat Intelligence Scanner Package.
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VentureBeat
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Why AI won’t make you a better writer
- National Novel Writing Month has announced that it will allow AI-generated writing as part of the competition this year.
- The problem is not in AI usage to write novels for this competition, but in permitting and sanctioning the use of AI as part of the event, which might result in having the robot take over the writing process.
- The problem with AI is that it is built with too many intended purposes, and it is difficult to specify optimal use cases.
- In the creative process, AI can be helpful, but only as a tool for the writer to use, rather than having the writer rely on it.
- AI might be harmful to creative skills and emotional satisfaction as it often accomplishes the acceptance of creative work that humans have long found fulfilling.
- A writer should write a story that only he/she can write. It's the most reliable way to produce great literature.
- Writing is something creative that has very few barriers to entry, so writers must focus on taking inspiration and turning it into something with intention and have AI as a tool rather than a replacement.
- Established writers may benefit from beta readers or experienced editors to help them tease out their unique voice as opposed to having AI trample all over it.
- As much as AI could help writers, there will always be a strong dependence on human creativity and skills to create unique and meaningful literature.
- AI-generated writing will not help a writer become a better writer; it will only lead to the creation of robotic prose that lacks originality and creativity.
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VentureBeat
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Want to easily render 3D environments? Cybever and Cloud Zeta have a way
- California-based startups Cybever and Cloud Zeta have partnered to create a joint, web-based platform that enables creators to craft immersive 3D scenes for entertainment and industry purposes. The tool will combine Cybever's AI-driven world-building platform with Cloud Zeta's 3D data management infrastructure. The platform uses OpenUSD as a common 3D asset standard, which facilitates interoperability. The partnership offers creators from gaming, film, industrial design, and beyond the ability to create 3D environments at lower costs, much faster, and with less formal graphics training. True to its goal of tackling 3D content creation challenges the partnership also looks to empower 3D graphics creators in engineering, modeling, architecture, product development, and other fields.
- Cybever’s existing AI-based world-building platform allows 3D asset designers to upload their creations before deploying them into several different 3D environments. The OpenUSD standard, a universal 3D format is the backbone of the tool, enabling compatibility across tools and industries. The shared platform will allow users to integrate custom assets with Power integration tools from Cloud Zeta which smoothly standardize and verify assets for seamless integration across formats and engines like Unreal or Unity.
- Cloud Zeta focuses on data management challenges that arise when combining 3D assets built with a variety of different software programs. Cloud Zeta also focuses on deep, 3D-specific metadata and information that public cloud providers do not handle. The startup brings public cloud to handle low-level needs, but it also brings in 3D-specific expertise to ensure that its product is useful for companies that need 3D.
- The broader movement towards 3D standardization is driving Cybever's focus on usability and accessibility in which their primary objective in Cyberver is to democratize 3D world creation, empowering everyone to easily create their own 3D environments. Cai identifies OpenUSD as an excellent opportunity for fostering partnerships across industries. These partnerships create a network where companies can share, exchange, and collaborate on 3D data seamlessly.
- For industrial applications creating a 3D model through processes such as digital twinning plays a massive role in improving production efficiency.
- The joint Cybever-Cloud Zeta platform planned for public rollout in 2025 addresses challenges that have existed in 3D content creation for years, including high costs, complex workflows, and compatibility barriers. The combination of AI automation with scalable cloud infrastructure made possible by the partnership between Cybever and Cloud Zeta will enable games studios, film-makers, and other creators to produce 3D environments more accessible to smaller businesses and non-professional creators.
- Cloud Zeta is the only platform that facilitates working with OpenUSD directly in a browser, integrated with cloud infrastructure. Cybever and Cloud Zeta's collaboration also aims to bring legacy 3D data into the future so that future AI-powered, creative ideas can re-use these digital assets efficiently. Despite being around for decades, there are still countless old formats that need moving into OpenUSD. This will create more accessibility for 3D data management to enable companies from different industries to use 3D without breaking the bank.
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Medium
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Weekly AI Highlights Review: November 5–12
- OpenAI may be partnering with Broadcom to design an in-house chip that will help reduce reliance on Nvidia’s GPUs
- Amazon may invest further in Anthropic to have the latter use AWS proprietary chips instead of Nvidia-powered servers
- Google’s recent Q3 earnings call reveals that AI now generates over 25% of Google's new code
- Meta announced it would make its Llama models available to US government agencies despite ongoing debates about commercial model safety in military contexts
- Research Grid, an AI-powered startup, secured seed funding to expand operations in the US and Asia and enhanced AI capabilities
- Predikt, a Belgian-Swiss startup, has secured €750,000 in funding to develop its AI-powered brokerage platform
- Ai-Da, the world’s first ultra-realistic robot artist, created an AI-generated portrait of Alan Turing that sold for $1.08m at auction
- Panjaya’s BodyTalk newly launched AI dubbing platform synchronizes lip movements and body gestures for better video translations
- Healthcare startup Conflixis uses AI and advanced analytics to help healthcare organizations better manage conflicts of interest in their decision-making processes
- Cursor's parent company Anysphere fields unsolicited offers from major VC firms at valuations up to $2.5 billion, following explosive revenue growth in less than a year
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VentureBeat
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How to get started with AI agents (and do it right)
- Enterprises need to choose when to adopt third-party models, open source tools or build custom, in-house fine-tuned models for AI Systems.
- Organizations that attempt to build agents on their own often struggle with retrieval augmented generation (RAG) and vector databases.
- RAG systems take 6-8 weeks to build and optimize, and developers require an understanding of data availability and quality.
- It's important to factor in existing licenses and subscriptions while looking at options for deploying AI agents third party, open-source or custom.
- When developing an enterprise AI strategy, it is important to take a cross-functional approach.
- Successful organizations involve several departments in this process, including business leadership, software development and data science teams, user experience managers and others.
- Organizations that attempt to build AI agents in-house may face difficulties that lead to failure.
- Enterprises must factor ongoing, post-deployment needs into their AI strategies from the very beginning.
- Third-party providers will likely have the bandwidth to keep up with the latest technologies and architecture to build this.
- All of these systems require some type of post-launch maintenance and support, ongoing tweaking and adjustment to keep them accurate and make them more accurate over time.
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VentureBeat
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2025: The year ‘invisible’ AI agents will integrate into enterprise hierarchies
- In the enterprise of the future, human workers are expected to work closely alongside sophisticated teams of AI agents.
- One-third of American workers are already using AI in the workplace, and 2025 is predicted to be the year these “invisible” AI agents take on a more active role in enterprise operations.
- AI agents can handle multiple tasks based on context and natural language, going beyond question-answer chatbots to execute complex tasks.
- Experts predict by mimicking human-like behavior, AI agents will eventually fulfill the long-awaited dream of automation in enterprises that robotic process automation (RPA) was supposed to solve.
- AI agents will be able to perceive, interpret data, plan, act, reflect, learn from feedback, and improve over time.
- Although AI agents are still in formative stages, their abilities range from retrieval augmented generation to multi-agent ecosystems, but human input is still vital in most use cases.
- AI agents can streamline onboarding processes, work with procurement agents, gather information about customers, and complete tasks by breaking goals into sub-goals.
- Companies are using compound AI systems that break down monolithic models to improve quality and decrease cost and latency.
- The true transformation will come from companies leveraging their data to build a unique capability or business process to get service advantage over competitors.
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VentureBeat
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Anthropic’s new AI tools promise to simplify prompt writing and boost accuracy by 30%
- Anthropic has launched a new suite of tools designed to automate and improve prompt engineering in its developer console.
- The new features aim to help developers create more reliable AI applications by refining the instructions—known as prompts—that guide AI models like Claude in generating responses.
- The core of the updates is the Prompt Improver, a tool that uses best practices in prompt engineering to automatically refine existing prompts.
- Anthropic’s tools aim to bridge the gap between different AI platforms, allowing developers to adapt prompts designed for other AI systems to work seamlessly with Claude.
- The quality of prompts plays a key role in determining the performance of AI systems such as customer service and data analysis. Anthropic's new tools directly respond to the growing complexity of prompt engineering, which has become a critical skill in AI development.
- Anthropic's new release includes an example management feature which allows developers to manage and edit examples directly in the Anthropic Console.
- The flexibility to refine prompts and request changes without the need for extensive manual intervention could be a key differentiator in the competitive AI landscape.
- Anthropic's approach stands out for its practical focus, aiming to make AI work better, faster, and more reliably, delivering quantifiable improvements—like a 30% boost in accuracy—while giving technical teams the flexibility to adapt and refine as needed.
- As businesses increasingly integrate AI into their operations, they need to fine-tune models to meet their specific needs and Anthropic’s new tools aim to ease this process.
- Anthropic has built its reputation on responsible AI, championing safety and reliability—two pillars that align with the needs of businesses navigating the complexities of AI adoption.
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Medium
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Partnering Data Science and Social Impact at Howard University
- This collaborative workshop series at Howard University aimed to merge data science and social impact.
- Students developed innovative solutions to address real-world challenges using strategic thinking, analytics, and AI applications.
- Topics discussed included financial inclusion, AI-driven healthcare, and social entrepreneurship.
- The workshop series facilitated academic and professional growth, providing tools and mentorship to transform ideas into actionable research projects.
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VentureBeat
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This startup’s AI platform could replace 90% of your accounting tasks—here’s how
- Puzzle, a San Francisco-based fintech startup, has launched an AI-powered accounting platform designed to automate up to 90% of routine tasks, allowing accountants to focus on more strategic work.
- Puzzle's new general ledger software aims to integrate complex accounting policies directly into the platform, eliminating the need for manual spreadsheet processes.
- The platform supports both cash and accrual accounting, offering a solution for businesses of all sizes.
- Puzzle automates processes like revenue recognition, asset depreciation, and prepaid expenses, reducing the risk of errors and eliminating much of the manual, time-consuming work accountants typically face.
- Puzzle ensures accuracy by allowing accountants to control the level of automation they use, with each transaction tagged to provide transparency and verification.
- Puzzle's launch comes at a critical time for the accounting profession, as the industry is facing a severe talent shortage, high burnout rates, and repetitive tasks.
- Puzzle's platform represents the next step in the evolution of accounting, with the boring, repetitive work automated, and accountants spending more time helping businesses devise tax strategies and improve their financial health.
- Since its public launch, Puzzle's platform has processed more than $30 billion in transactions for over 3,000 businesses, experiencing 15-20% month-over-month growth.
- Puzzle's platform creates a self-reinforcing cycle of efficiency and accuracy, benefiting the business owner, accountant, and the entire economy.
- Puzzle's approach is to support rather than replace accountants, enabling them to play more strategic roles in businesses, becoming the heroes of their companies.
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Analyticsindiamag
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AI is Just a Hollow Wrapper Around Humanity
- AI is just technology wrapped around technology, ultimately revealing that even the most sophisticated AI is but a sophisticated wrapper around the human experience.
- The term ‘wrappers’ first came into use in 2023 after the boom of GenAI startups, which were built on existing LLMs.
- Vishnu Ramesh, the CEO of subtl.ai shared challenges posed by VC expectations for his 4-year old entity in securing funding to move forward.
- Arjun Rao, founding partner at Speciale Invest highlighted cautious VC approach for high-cost, foundational AI projects.
- At the end of the day, wrapper companies are going to take centre-stage than creating newer foundational models because building LLMs from scratch is an expensive, time-consuming, and a capital-intensive task.
- India could benefit more by building on existing foundational models rather than developing indigenous models from scratch. India’s CTO Nandan Nilekani and others support this line of thinking.
- Some believe Marc Andreessen's essay prophesizes the future where humans will never run out of problems, and he believes wrappers are useful in this context where they can help solve niche and specialized problems.
- Even though wrapper models may conceal the functional core, startups and their models should adapt to new changes rather than relying on existing strategy and proprietary algorithms.
- Healthify and Ola AI are examples of startups that built on existing LLMs, creating real-time AI conversations in Hindi using OpenAI APIs and adapting AI solutions to the Indian market.
- There is still a question on the validity of companies such as Perplexity, built on both Anthropic and OpenAI’s models, after OpenAI integrated search features into its ChatGPT.
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Analyticsindiamag
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Microsoft Launches Industry-Specific AI Models
- Microsoft has launched industry-specific AI models to enhance operational efficiency and innovation.
- These models, fine-tuned with industry-specific data, are available through Microsoft's online model catalogue.
- Microsoft aims to provide a secure framework for innovation across various sectors by merging its Cloud platform with tailored industry tools and partner ecosystem.
- Companies like Bayer, Rockwell Automation, Saifr, Sight Machine, Cerence, and Siemens Digital Industries Software have also launched their industry-specific AI models.
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Medium
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Pakistani Potato Dishes: Simple Ingredients, Bold Flavors
- Aloo Keema is a well-cherished Pakistani dish made from ground meat and potatoes in a spiced tomato-based sauce.
- Aloo Gosht is a savory curry that combines tender meat with potatoes in a flavorful sauce.
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Analyticsindiamag
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2024 Would Have Been So Boring Without Robots
- AI integrated into robotics is one of the notable trends in 2024
- Physical Intelligence raises $400M, backed by Jeff Bezos
- OpenAI is committed to developing next-gen AI model for humanoid robots
- Boston Dynamics replaces Atlas model with new electric iteration called Electric Atlas
- Figure AI unveiled its second-gen humanoid robot, Figure 02
- Optimus-Gen 2 can execute tasks such as picking and sorting objects, navigate and even do yoga
- Agility Robotics' Digit humanoid robot deploys in logistics and receives 'Robot of the Year' award
- Robotics investment surpasses $2.1B in May 2024
- GrayMatter raises $45M to apply AI to production tasks
- Chinese robotics company Fourier Intelligence's GR-2 humanoid robot paves the way for affordable elderly care
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Analyticsindiamag
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Databricks Looks to Raise $1 Bn from Thrive to Outsmart the Competition
- Thrive Capital is in talks to invest $1 billion in Databricks, boosting its valuation to $55 billion.
- Databricks aims to accelerate AI-driven data solutions, expand enterprise capabilities, and solidify its position as a leader in analytics technology.
- The investment highlights confidence in Databricks' technology as demand for AI platforms grows.
- Databricks' strategic goals include dominating the enterprise AI market and collaborating with industry giants.
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Analyticsindiamag
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Yotta Acquires IndiQus to Reduce India’s Reliance on Foreign Cloud Players
- Yotta Data Services has acquired IndiQus Technologies, the parent company of Apiculus, a leading cloud platform provider.
- The acquisition aims to reduce India's reliance on foreign cloud and AI providers and accelerate India's digital transformation through 'Made in India' technologies.
- Yotta's integration of Apiculus' scalable cloud services enhances its cloud and AI capabilities and positions the company as a key player in India's digital infrastructure.
- The acquisition enables Yotta to offer businesses advanced AI and cloud solutions to support rapid innovation and growth.
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