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VentureBeat
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OpenAI unveils Responses API, open source Agents SDK, letting developers build their own Deep Research and Operator
- OpenAI is introducing new APIs and tools to help developers build AI-powered agents efficiently, inspired by its Deep Research and Operator AI agents.
- These tools leverage OpenAI's recent advancements in reasoning models like the 'o' family, aiding in tasks like planning and long-horizon operations.
- The newly launched Responses API, Agents SDK, and other offerings aim to streamline AI agent development and integration for enterprises and developers.
- The Agents SDK is open-source and allows developers to mix models from various sources for enhanced agent capabilities.
- The Responses API combines features of Chat Completions and Assistants APIs, offering built-in tools like web search, file search, and a computer use tool for developing multi-step interactions.
- Built-in guardrails and observability features in the Agents SDK ensure safety, debugging, and optimization of agent workflows.
- The Responses API provides real-time answers through web search and file search tools, facilitating information retrieval and content interaction.
- Web search results come with verifiable citations, enhancing accuracy and source transparency for users.
- The file search tool supports multiple file formats, metadata filtering, and custom ranking to retrieve precise information efficiently.
- OpenAI aims to continue enhancing its AI solutions with additional safety features and tools to empower developers in deploying scalable agentic applications.
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Analyticsindiamag
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How Does TurboML Plan to Build a Foundational Model Under $12 Million?
- Machine learning platform TurboML aims to build a foundational AI model trained on Indian datasets for less than $12 million as part of the IndiaAI Mission.
- TurboML plans to leverage subsidised compute rates through government vendors and contracts for cost reduction.
- TurboML will take a phased approach, starting with smaller datasets and model parameters, and progressing to larger scales.
- TurboML is assembling a world-class team with a remote presence in India and the San Francisco Bay Area.
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Medium
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Understanding Probability: From Dice Rolls to Real-World Situations(Part 2)
- Conditional probability and Bayes’ Theorem are powerful tools in probability theory.
- Conditional probability measures the likelihood of an event given that another event has already occurred.
- Bayes’ Theorem allows us to infer causes from observed effects.
- Bayes’ Theorem is widely applied in various real-world scenarios such as medical testing and spam filtering.
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Datarobot
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Why AI leaders can’t afford the cost of fragmented AI tools
- Fragmented AI tools are draining budgets, slowing adoption, and frustrating teams. To control costs and accelerate ROI, AI leaders need interoperable solutions that reduce tool sprawl and streamline workflows.
- 1-in-4 teams report difficulty implementing AI tools, with nearly 30% citing integration and workflow inefficiencies as top frustrations.
- Disconnected AI ecosystems lead to ballooning costs, stalled ROI, and high talent turnover.
- AI practitioners face manual pipelines, tool fragmentation, and connectivity roadblocks, hindering productivity.
- Interoperability hurdles create significant cost implications, slowing down teams and draining resources.
- AI integration challenges include manual pipelines, tool fragmentation, orchestration complexities, and difficult updates.
- Disjointed AI tools impact budgets, team stability, and operations, leading to high turnover and lost collaboration opportunities.
- The demand for generative and agentic AI adds complexity, requiring a clear integration and orchestration strategy.
- To simplify AI infrastructure and cut costs, AI leaders can assess tool flexibility, leverage a hybrid interface, streamline workflows with AI platforms, and foster cross-functional collaboration.
- Leaders must prioritize adaptable, interoperable tools to avoid falling behind and responding to advancements in AI and enterprise technology.
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Medium
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Into the Crystal Ball: Quick & Dirty Time Series Forecasting with Python
- In the business world, predicting the future is crucial for meeting goals and making strategic decisions, even without the resources of a Data Scientist.
- Time series forecasting can be done efficiently using data analysis and critical thinking, even without specialized resources.
- By utilizing time series data and unique identifiers, one can generate forecasts to aid in business decision-making.
- In the provided scenario, user registration records are used to estimate future new user acquisition trends.
- Data preprocessing involves converting timestamps into calendar days and selecting a relevant time window for forecasting.
- Using the Prophet library for forecasting, predictions can be made with confidence intervals for future new user registrations.
- Positioning forecasts as a range rather than exact values enhances credibility and allows for better decision-making.
- Converting model outputs into plain language helps communicate insights effectively to stakeholders.
- Forecasting can inform resourcing decisions, product roadmap adjustments, and provide insights into user behavior for strategic planning.
- Agile forecasting approaches like this one offer simplicity, efficiency, and effectiveness in time-sensitive business environments.
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VentureBeat
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CRM provider Creatio launches first ‘AI native’ platform with agentic digital talent built-in
- CRM provider Creatio has launched an 'AI native' platform during its Creatio.ai Live Executive Presentation.
- The new CRM focuses on AI as its primary interface, with a chatbot prompt for user interactions.
- Creatio offers 'Digital Talent' within its CRM for automating repetitive tasks, enhancing customer experiences.
- The updates aim to streamline operations, improve customer experiences, and enable scalability without workforce constraints.
- Creatio, formerly Bpm'online, has attracted clients like Hyundai, BEEAH Group, and TPBank with its adaptable CRM solutions.
- The company reported milestones such as a 132% net retention rate and 10 million daily workflows executed in 2021.
- With a recent $200 million investment, Creatio plans to enhance its no-code and AI capabilities for enterprise CRM solutions.
- The AI-native CRM integrates AI into its platform to automate tasks, provide personalized AI agents, and enhance user experiences.
- Creatio emphasizes the integration of human and Digital Talent in its CRM, offering personalized AI agents tailored to individual users.
- AI in Creatio's CRM automates manual tasks, provides recommendations, and enables real-time decision-making based on AI insights.
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Analyticsindiamag
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Airtel Partners with SpaceX to Offer Starlink in India
- Airtel has partnered with SpaceX to provide Starlink's high-speed internet services in India.
- The partnership aims to offer Starlink equipment in Airtel retail stores to serve business customers, schools, and health centers in underserved areas.
- Starlink is SpaceX's satellite internet service offering high-speed, low-latency broadband globally.
- This partnership expands Airtel's connectivity portfolio and complements its existing alliance with Eutelsat OneWeb.
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Analyticsindiamag
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Meta in Talks with TSMC to Launch its First In-House Own Chip
- Meta is testing its first in-house chip for training AI systems to reduce reliance on suppliers and lower costs.
- The chip is part of the Meta Training and Inference Accelerator (MTIA) series.
- Meta is working with Taiwan Semiconductor Manufacturing Company (TSMC) for chip manufacturing.
- Meta plans to use in-house chips for both training and inference tasks by 2026.
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VentureBeat
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Cerebras just announced 6 new AI datacenters that process 40M tokens per second — and it could be bad news for Nvidia
- Cerebras Systems announced the expansion of six new AI data centers in North America and Europe to increase its inference capacity to over 40 million tokens per second.
- The company aims to cater to the growing demand for fast AI inference and compete with Nvidia in this market segment.
- Partnerships with Hugging Face and AlphaSense further strengthen Cerebras' position by providing wider access to their high-speed AI inference services.
- Cerebras' specialized hardware is designed to run AI models 10 to 70 times faster than GPU-based solutions, appealing to customers seeking speed and efficiency.
- The company focuses on high-speed inference applications like real-time voice and video processing, reasoning models, and coding, enhancing developer productivity.
- Cerebras' investment in resilient infrastructure, like the tornado-resistant Oklahoma City facility, showcases its commitment to reliability and continuity of service.
- The expansion comes at a time when the AI industry prioritizes inference capabilities for deploying generative AI in production applications efficiently.
- With a significant presence in the United States, Cerebras also contributes to advancing domestic AI infrastructure and technological sovereignty.
- Cerebras' strategy of focusing on high-speed inference over competing across all AI workloads positions them as a leader in a niche market segment.
- Through cost-efficient services and faster AI model processing, Cerebras offers a compelling alternative to GPU-based solutions for various applications.
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Analyticsindiamag
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Motive to Hire 300 AI Professionals in India for Life-Saving Tech
- Motive, an AI-powered operations platform, plans to hire over 300 engineers, product managers, and designers in India over the next two years.
- The company aims to develop AI models and software solutions focused on enhancing safety and efficiency in physical operations.
- Their innovations include AI dashcam collision detection system and AI-powered fleet management solutions.
- Motive is also hiring senior leaders in India and investing in future talent through intern programs.
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Analyticsindiamag
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NxtGen Cloud to Hire 400 AI Engineers to Meet Growing Demand for AI Services
- NxtGen Cloud Technologies plans to hire 400 AI engineers in the coming months to meet the growing demand for AI services.
- The recruitment drive will focus on fresh graduates and aims to support the rising demand for AI services from businesses and government initiatives like the IndiaAI mission.
- NxtGen Cloud Technologies has already started campus recruitment efforts and expects to onboard the new hires by the end of this financial year.
- The company aims to make AI work for its customers by creating use-cases and deploying commercially viable AI solutions.
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Analyticsindiamag
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India faces AI talent crunch with 2.3 million job openings by 2027 suggest reports
- A shortage of skilled AI professionals is slowing AI adoption, as demand for expertise outpaces supply.
- India will face one of the largest AI talent shortages, with job openings projected to exceed 2.3 million by 2027, while the available workforce is expected to reach only 1.2 million.
- The United States could have a shortage of up to 700,000 AI professionals with AI job demand surpassing 1.3 million in two years.
- Germany and the United Kingdom are expected to face significant AI talent shortages, with up to 70% and 50% of AI jobs unfilled by 2027, respectively.
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Analyticsindiamag
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Chennai-Based YourTribe is the Matchmaker Startups Didn’t Know They Needed
- Chennai-based startup YourTribe is a talent marketplace built specifically for startups and emerging brands, providing employer branding and AI-driven CV matching to help employers hire talent.
- YourTribe has helped startups and non-startups in India, such as Prudent AI and Zitro Games, and offers a subscription-based revenue model for job roles and resumes.
- The company recently raised ₹4 crore in seed funding on the show Startup Singam and plans to raise ₹35-₹40 crore in series funding for a valuation of ₹150 crore.
- YourTribe's founder believes that employer branding will be crucial for hiring in the coming years, especially with the rise of GenAI, as people will rely on AI to find and apply for jobs.
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Analyticsindiamag
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WNS Acquires Kipi.ai to Strengthen AI and Data Analytics Capabilities
- WNS has acquired Kipi.ai to enhance its analytics and AI offerings.
- Kipi.ai brings a team of over 600 professionals and 600 SnowPro certifications.
- Kipi.ai has developed more than 250 AI-powered solutions across industries.
- The acquisition is expected to have minimal impact on Q4 2025 and contribute approximately 2% to WNS' revenue.
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Analyticsindiamag
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New OpenAI Report Shows How to Fix Reward Hacking in Large Reasoning Models
- OpenAI has released a research report on fixing reward hacking in reasoning models.
- The report explores strategies to monitor and mitigate reward hacking behaviors.
- OpenAI demonstrates how to monitor models for reward hacking using chain-of-thoughts observation.
- When monitoring chain-of-thoughts, OpenAI recalled 95% of the hacks, compared to 60% with action-only monitoring.
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