Category: AI Strategy

  • Google’s Gemini 3.5 Flash Gains Computer Control: AI Agents Can Click, Fill Forms, and Execute Tasks

    Google’s Gemini 3.5 Flash Gains Computer Control: AI Agents Can Click, Fill Forms, and Execute Tasks

    Google has unveiled a significant upgrade to its Gemini 3.5 Flash model, introducing a new ‘Computer Use’ capability that allows developers to build AI agents capable of interacting with applications and performing tasks on a computer. This move positions Gemini beyond a simple chat and text-generation platform, enabling AI agents to click buttons, fill out forms, and complete complex workflows autonomously.

    The feature, announced on June 24 via Google’s official blog, is now accessible through the Gemini API and the Gemini Enterprise Agent Platform. Previously, Gemini 3.5 Flash was available only as a standalone model. With the built-in Computer Use, developers can create custom agents that ‘see, reason, and take action across browser, mobile, and desktop environments.’ The AI mimics human decision-making by pausing to consider before clicking an option, rather than relying on rigid pre-coded prompts.

    This development marks a shift from traditional language models, which primarily handle text-based tasks. While earlier AI tools could explain how to complete a process, they could not execute it. Now, Gemini-powered agents can help with repetitive office work, software testing, scheduling, data entry, and other routine jobs, potentially saving businesses time and reducing manual effort.

    The rise of such AI agents may begin to blur the lines between chatbots and digital assistants. Virtual assistants have long followed commands; AI agents now carry out entire workflows. This could benefit workplace productivity, customer support, and individual users for scheduling and online bookings. However, experts caution that human workers will still be needed for judgment, creativity, and decision-making.

    With greater autonomy come new risks. Allowing software to control a computer raises security and privacy concerns, such as unauthorized access to sensitive files or personal data. Poorly managed permissions could lead to serious consequences, and there is also the potential for misuse by cybercriminals. Google’s latest step indicates where the industry is heading, but ensuring safe and responsible use remains a key challenge.

  • Amazon CEO Andy Jassy Pledges $48 Billion India Investment After Meeting PM Modi

    Amazon CEO Andy Jassy Pledges $48 Billion India Investment After Meeting PM Modi

    Amazon has announced a massive $48 billion investment roadmap for India through 2030, following a meeting between CEO Andy Jassy and Prime Minister Narendra Modi. The plan focuses on artificial intelligence, cloud infrastructure, logistics expansion, job creation, and digital inclusion, reinforcing Amazon’s long-term commitment to India’s growth.

    During the meeting in New Delhi on June 25, 2026, Jassy revealed an additional $13 billion to expand AI and cloud infrastructure by 2030, bringing Amazon’s total planned investment in these areas to over $21 billion between 2026 and 2030. This investment will increase AWS data center capacity in Mumbai and Hyderabad, providing startups, enterprises, and governments with access to customized AI chips, AI managed services, secure cloud computing solutions, and developer tools.

    “We came to India over a decade ago and have since been serving customers, sellers, developers, start-ups, and enterprises through our different businesses. The response has been tremendous, with strong growth especially across our ecommerce, AI, and cloud businesses. As we grow Amazon in India, our business priorities continue to align with India’s priorities of democratizing access to AI, digitizing small businesses, creating jobs, and enabling exports,” Jassy said.

    Key Takeaways from Andy Jassy’s Meeting with PM Modi

    Amazon India also launched ‘Sammaan’, a comprehensive welfare program for thousands of delivery associates in its logistics network. Initiatives include scholarships to educate associates’ children, access to government benefits and financial inclusion programs, comprehensive insurance coverage, on-road safety measures, and more. As part of the program, Amazon will expand its Ashray rest centers to 250 locations this year, open to delivery associates across the industry.

    What it Means for India’s Digital Future

    Jassy thanked Prime Minister Modi for his leadership and highlighted the growing importance of India, where Amazon operates several businesses, including e-commerce, AI, cloud, and entertainment. “We are investing over $48 billion in the coming five years to meet the strong demand across our business in India and to help the country achieve these priorities. We are inspired by Prime Minister Modi’s vision of a Viksit and Atmanirbhar Bharat, and we are committed to being a long-term partner in India’s growth story,” he added.

    This investment from Amazon is expected to accelerate the digital revolution in India by improving its technological infrastructure, cloud computing, logistics, and innovation ecosystem. It signals that the rest of the world sees India as a digital powerhouse of the future.

  • Meta Relaunches Facebook Creator Studio as AI-Powered App with Smart Insights and Automated Replies

    Meta Relaunches Facebook Creator Studio as AI-Powered App with Smart Insights and Automated Replies

    Meta has relaunched Facebook’s Creator Studio as a standalone AI-powered companion app, marking the return of a platform it discontinued in 2023 when it shifted creators to Meta Business Suite. The revamped app is designed to help creators grow their audiences with AI-driven insights, engagement tools, and personalized recommendations.

    At the heart of the new experience is the AI Creator Assistant, which provides creators with performance insights, answers questions about audience engagement, suggests ways to improve reach, and recommends the best times to post. The assistant can also identify the most important audience comments and draft replies in the creator’s own tone, allowing users to review and publish responses quickly.

    The application will also feature a daily priorities feed that will show top priorities such as following up on recently published post performance and interactions. According to Meta, the application will make it easy for content creators to work without using third-party applications when coming up with ideas.

    The new Creator Studio has been tested by some selected creators while users who are willing to be part of the creators can enroll on the waitlist. Thus far, there is no update about any wider release dates by Meta. Besides the app, Meta has redesigned its creator dashboards on Facebook.

  • Google Gemini 3.5 Pro Launch Reportedly Pushed to July for Extra Testing

    Google Gemini 3.5 Pro Launch Reportedly Pushed to July for Extra Testing

    Google has reportedly delayed the launch of its advanced Gemini 3.5 Pro AI model from June to July 2026, according to sources familiar with the development. The company is said to be using the additional time to gather feedback from early testers and refine the model’s performance in coding, token efficiency, and long, multi-step tasks.

    The postponement has not been officially confirmed by Google. A company spokesperson declined to comment when asked about the revised timeline. As a result, the July release window remains based on information from an unnamed insider.

    Extended Testing Phase

    Early users have been testing Gemini 3.5 Pro through Google’s Antigravity development environment and the LMArena benchmarking service. The company is reportedly collecting feedback and making adjustments before a wider release, particularly focusing on complex, multi-step workflows that require maintaining context over several stages.

    Google introduced the Gemini 3.5 model family at its I/O developer conference in May. CEO Sundar Pichai stated that Gemini 3.5 Pro would arrive the following month, though no firm date was provided. The company first launched Gemini 3.5 Flash, a model optimized for coding, AI agents, and complex workflows. Gemini 3.5 Pro is expected to offer greater computing power for demanding tasks.

    Feedback from Gemini 3.5 Flash Influences Pro Development

    Reports indicate that Google has incorporated feedback from Gemini 3.5 Flash users into the Pro model’s development. Some users noted that Flash consumed tokens too quickly, potentially raising costs for long prompts or extended tasks. Google is reportedly examining this issue while preparing Gemini 3.5 Pro.

    Token usage directly affects how much text a model processes and generates. Higher consumption can increase costs for developers and enterprises running large numbers of AI requests. The upcoming Pro model is also expected to improve performance on long-horizon tasks that require planning, tool use, and sustained context, such as software development, data analysis, and automated business processes.

    However, Google has not published full technical details or benchmark results for Gemini 3.5 Pro. Claims about speed, efficiency, and coding abilities will remain unverified until official data is released or wider access is granted.

    Competition in AI Coding Intensifies

    The reported delay comes as major AI developers compete for business customers, especially in coding tools. OpenAI and Anthropic have also released models aimed at coding and agent-based tasks. Google already offers Gemini through AI Studio, Vertex AI, Android Studio, and Antigravity. Gemini 3.5 Pro could expand those services once available.

    Earlier in June, Google introduced Gemma 4 12B, a lightweight multimodal model designed to run locally on laptops with 16GB of RAM or video memory. Unlike Gemini’s closed commercial models, Gemma provides open model weights for developers seeking more control over local deployment.

    For now, Gemini 3.5 Pro has no confirmed public launch date. Reports point to July, but Google has not specified which products, users, or regions will receive access first.

  • How Dataiku Is Transforming Enterprise AI with a Unified Platform for Everyday AI

    How Dataiku Is Transforming Enterprise AI with a Unified Platform for Everyday AI

    Dataiku is a global artificial intelligence and machine learning platform that empowers organizations to build, deploy, and manage data-driven applications at scale. The company is a recognized leader in enterprise AI solutions, predictive analytics, and automated machine learning. Its revenue is generated primarily through software subscriptions, supported by professional services, training programs, and advanced AI capabilities, and it maintains a strong international presence across North America, Europe, Asia-Pacific, Latin America, the Middle East, and Africa.

    About the Company

    Dataiku transforms raw data into actionable insights through a centralized platform designed for Everyday AI. The platform enables both coders and non-coders to build, deploy, and manage AI solutions that incorporate generative AI, machine learning, analytics, and comprehensive data preparation tools. Robust AI governance features ensure compliance and reduce risks across all projects, while unified AI engineering operations foster a collaborative ecosystem. Teams can create dashboards, interactive web apps, and data products, supporting self-service analytics and smarter, data-driven decision-making across organizations worldwide.

    Core Leadership Team

    Dataiku is guided by an experienced leadership team that drives its vision of democratizing AI. While specific names are not detailed in this profile, the leadership oversees strategy, product development, and global expansion.

    Revenue Streams

    The company generates revenue mainly through enterprise software subscriptions for its Data Science Studio (DSS) platform. Additional income comes from professional services, training programs, and premium AI capabilities. These solutions support use cases in generative AI, machine learning, analytics, financial forecasting, supply chain optimization, and customer engagement, helping global organizations scale their decision-making and operational efficiency.

    Client Segments

    • B2B Focus: Large enterprises, public sector organizations, financial institutions, retailers, manufacturers, healthcare providers, and technology companies.
    • Target Companies: Fortune 500 corporations, SMBs, government agencies, tech startups, and AI-driven businesses.

    Target Geography

    Dataiku maintains a global presence with operations in North America, Europe, Asia-Pacific, Latin America, the Middle East, and Africa.

  • DeepMind Company Profile: Business Model, Leadership, and AI Breakthroughs

    DeepMind Company Profile: Business Model, Leadership, and AI Breakthroughs

    DeepMind, a subsidiary of Alphabet Inc., is widely regarded as the world’s leading artificial intelligence research lab, with a mission to create artificial general intelligence. Known for groundbreaking achievements such as AlphaGo and AlphaFold, DeepMind applies deep learning and reinforcement learning to solve complex problems in science, healthcare, and technology, driving a global transformation in AI. Below is an in-depth look at the DeepMind company profile.

    About the Company

    Google DeepMind is a premier AI research lab within Alphabet, dedicated to building safe and ethical AI for positive impact. The lab has made significant contributions to science and technology through high-profile innovations like AlphaGo, AlphaFold, and the original transformer architecture. Beyond research, DeepMind prioritizes responsibility, inclusivity, and collaboration to ensure AI innovations are deployed safely and ethically. Its work demonstrates AI’s potential as a trusted partner working alongside human intelligence to drive discovery, deliver solutions, and create new approaches to pressing global challenges in health, climate, and beyond.

    Core Leadership Team

    DeepMind’s leadership comprises experts in AI, machine learning, and ethics, guiding the lab’s strategic direction and research priorities. Key figures include founders and senior executives who oversee operations, research, and partnerships, ensuring alignment with Alphabet’s broader goals.

    Revenue Streams

    DeepMind generates revenue primarily through its parent company Alphabet by delivering advanced AI research and solutions. Income sources include internal service agreements with Google, technology licensing (e.g., WaveNet), scientific research partnerships, and limited healthcare collaborations. While DeepMind does not sell directly to consumers, its innovations are embedded into Google products, creating indirect value across Alphabet’s global ecosystem. This positions DeepMind as both a cutting-edge research hub and a strategic enabler of enterprise-scale AI impact.

    B2B Client Segments and Target Companies

    • Client Segments: Alphabet Inc. (Google), Public Sector Institutions, Research Organizations, Healthcare Providers, AI Developers
    • Target Companies: Large Enterprises, Government Bodies, Research Labs, Cloud Platforms
    • Target Geography: Global, including North America, Europe, and selected regions in Asia-Pacific

    Social Media and Contact

    Follow DeepMind on Facebook, Twitter, LinkedIn, YouTube, and visit their official website for the latest updates.

  • Perplexity AI Review 2025: Features, Pricing, and CEO Vision for AI-Powered Search

    Perplexity AI Review 2025: Features, Pricing, and CEO Vision for AI-Powered Search

    Perplexity AI is rapidly emerging as a compelling alternative to traditional search engines, blending natural language processing with real-time web data to deliver conversational, citation-backed answers. Unlike conventional search that returns a list of links, Perplexity provides direct, fact-driven responses with transparent sourcing—making it both reliable and user-friendly.

    What Is Perplexity AI?

    Perplexity is an intelligent, fast-growing AI search tool that prioritizes correctness, clarity, and speed. It processes millions of queries monthly—approximately 780 million in May 2025, with nearly 20% month-over-month growth—and stands out for its clean interface and human-like comprehension.

    Why It Stands Out

    • Transparent sourcing and citations: Every answer includes clear sources, boosting credibility.
    • Speed in response: Handles vast numbers of queries efficiently.
    • Innovative tools: The upcoming ‘Comet’ browser assistant will perform high-level tasks like article summarization and candidate sourcing from a single sidebar.

    Pricing & Plans

    Perplexity offers flexible pricing:

    • Free Plan: 5 premium-level queries plus unlimited basic searches per day.
    • Pro Plan: $20/month (~₹1,650) for 300 Pro daily queries with access to GPT-4, Claude, and other premium models.
    • Enterprise Pro: $40/month per seat (~₹3,300) for unlimited Pro queries, advanced research tools, and collaboration features.

    Notably, Airtel is offering a one-year free Perplexity Pro subscription to its 360 million users—a value of nearly ₹17,000 per user at no cost.

    Leadership & Vision

    CEO Aravind Srinivas (IIT Madras and UC Berkeley alumnus) has grown the company’s valuation from $1 billion in 2024 to over $14 billion by mid-2025. His strategy focuses on long-term AI development rather than short-term profit, with plans for the Comet browser—an AI assistant that goes beyond search to assist professionals in real time.

    Strengths & Limitations

    Strengths

    • Reliable, well-sourced answers with citations.
    • Advanced AI models available in Pro/Enterprise tiers.
    • Comet tool could redefine multitasking with real-time assistance and summarization.

    Limitations

    • Comet is still in beta, limiting access for casual users.
    • Like any AI, occasional inaccuracies require user discretion.

    Final Thoughts

    Perplexity AI introduces a new paradigm of clarity, speed, and intelligence in search. Its tiered pricing serves casual users, professionals, and enterprises alike, while partnerships like Airtel’s bring premium tools to millions. Under Aravind Srinivas, the company is evolving beyond search into a comprehensive knowledge assistant. For those seeking more control, smarter results, and a clean interface, Perplexity is worth exploring.

  • Microsoft and Inworld AI Join Forces to Create Generative AI Tools for Xbox Game Development

    Microsoft and Inworld AI Join Forces to Create Generative AI Tools for Xbox Game Development

    Microsoft has announced a multi-year partnership with Inworld AI to develop generative AI tools for Xbox game developers. The collaboration aims to empower creators with AI-driven tools for building characters, stories, quests, and dialogue, leveraging large language models similar to those powering OpenAI’s GPT.

    The partnership will produce an “AI design copilot” system that helps developers create detailed scripts, dialogue trees, and quest lines. Additionally, an AI character engine will enable more immersive and dynamic in-game interactions. The tools are designed to be cross-platform and accessible to developers of all sizes, from indie studios to major AAA teams.

    Ilya Gelfenbeyn, CEO of Inworld AI, noted that generative AI unlocks new opportunities for storytelling and character engagement within games. Haiyan Zhang, General Manager of Gaming AI at Xbox, emphasized that the approach is rooted in meaningful innovation, empowering people, and responsibility. She stated that the tools will be built on Microsoft’s AI principles and Responsible AI Standard.

    This announcement follows Microsoft’s broader AI push, including the recent introduction of Copilot for Office, which automates tasks like email drafting and document summarization. By extending generative AI into gaming, Microsoft aims to reduce complexity for developers and enhance player experiences, particularly as the metaverse and VR/AR sectors are projected to grow to $615 billion by 2030.

    The partnership brings together Inworld’s expertise in generative AI for characters, Microsoft’s Azure OpenAI Service, Microsoft Research’s insights into future play, and Xbox’s legacy of responsible creator tools. Together, they plan to deliver an accessible, responsibly designed multi-platform toolset for dialogue, story, and quest design.

  • Top AR/VR and AI Developments: From Apple Vision Pro to Generative AI in Gaming

    Top AR/VR and AI Developments: From Apple Vision Pro to Generative AI in Gaming

    The world of augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) continues to evolve rapidly. Recent headlines highlight how these technologies are converging to reshape industries from entertainment to manufacturing. Here’s a roundup of key stories.

    Apple Vision Pro Ushers in a New Era of Spatial Computing

    Apple’s Vision Pro headset marks a significant milestone in AR technology. With spatial computing expected to dominate the global tech market, the device is poised to test multiple industries, from healthcare to education, by blending digital content seamlessly with the physical world.

    Microsoft and Inworld AI Partner on Generative AI for Xbox

    Microsoft has joined forces with Inworld AI to develop generative AI tools for Xbox game developers. This collaboration showcases how AI is extending beyond business digital transformation into entertainment, enabling more dynamic and responsive gaming experiences.

    Web3, AI, and the Metaverse Transform the Music Industry

    The metaverse is revolutionizing the music industry, with artists like Robbie Williams venturing into Web3 spaces. Virtual concerts and AI-driven experiences are creating new revenue streams and fan engagement models.

    Asian Games 2023 Embraces AI and Eco-Friendly Tech

    Held in Hangzhou, China, the Asian Games 2023 features esports as a medal event for the first time. The event also showcases AI and eco-friendly technologies, highlighting digital transformation on a global stage.

    Deloitte: Industrial Metaverse to Transform Manufacturing

    A report from Deloitte reveals that most manufacturing companies are leveraging the industrial metaverse. However, cybersecurity and data protection remain key concerns as factories become more digitized.

    Virtual Marriage: Woman ‘Marries’ AI-Powered Partner

    In a sign of emerging trends, a woman has entered into a virtual ‘marriage’ with an AI-powered partner. This unconventional union raises questions about the future of relationships and markets in a digitally connected world.

    Top 10 Augmented Reality Companies for Business

    Augmented reality is building on the Internet of Things (IoT) to unlock new commercial opportunities. From Pokémon Go to enterprise solutions, AR is expected to redefine how businesses interact with the physical world.

    Stay tuned for more updates as AR, VR, and AI continue to shape our future.

  • How Deloitte and Agentic AI Are Transforming University Administration at Cincinnati

    How Deloitte and Agentic AI Are Transforming University Administration at Cincinnati

    Senior Manager Matt Fiorino of Deloitte recently outlined how the firm is helping the University of Cincinnati (UC) modernize its 200-year-old legacy infrastructure. The initiative, driven by the ERP Futures Program, focuses on early planning, executive governance, and cost assessment across HR, finance, and student systems.

    Key upgrades include optimizing UC’s Anaplan budgeting software and planning to deploy agentic AI from vendors such as Oracle and Workday. By automating routine tasks like grant processing and data summaries, the university can redirect staff time toward direct student support.

    Fiorino emphasized Deloitte’s holistic approach to breaking down institutional silos, creating a single source of truth for real-time analytics and long-term, data-driven decision-making.