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1. ELI5: Understanding MCP Imagine you have a single universal plug that fits all your devicesthat’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an open standard (think USB-C for AI integrations ) that allows AI models to connect to many different apps and data sources in a consistent way. In simple terms, MCP lets an AI assistant talk to various software tools using a common language, instead of each tool requiring a different adapter or custom code.
India is a diverse country with a rich tapestry of languages, making seamless communication across regions a persistent challenge. However, Sarvams Bulbul-V2 is helping to bridge this gap with its advanced text-to-speech (TTS) technology. By delivering natural, regionally authentic voices, the model brings local flavor to digital platforms and makes AI more inclusive and accessible […] The post Bulbul-V2 by Sarvam AI: India’s Best TTS Model with Support for 11 Indian Languages appear
What if you could ask Warren Buffett about a stock, market trends, or long-term investing, anytime you wanted? With reports suggesting he may soon step down as CEO of Berkshire Hathaway, its a good moment to reflect on the lasting value of his principles. For decades, Buffett has been a steady voice in investing, known […] The post Build Your Own Warren Buffett Agent in 5 Minutes appeared first on Analytics Vidhya.
Is Your Team in Denial of Data Quality? Here’s How to Tell In many organizations, data quality problems fester in the shadowsignored, rationalized, or swept aside with confident-sounding statements that mask a deeper dysfunction. While the cost of poor data quality is well-documentedwasted time, lost trust, and flawed decisionsteams often operate in collective denial.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
You can now access the AI search flow builder on OpenSearch 2.19+ domains with Amazon OpenSearch Service and begin innovating AI search applications faster. Through a visual designer, you can configure custom AI search flowsa series of AI-driven data enrichments performed during ingestion and search. You can build and run these AI search flows on OpenSearch to power AI search applications on OpenSearch without you having to build and maintain custom middleware.
Unfortunately, we dont all experience the healthcare system the same way. While the vast majority of patients in the United States have complaints regarding their healthcare options, the actual experiences vary significantlybased largely on cultural or economic grounds.
AI agents are now a part of enterprises big and small. From filling forms at hospitals and checking legal documents to analyzing video footage and handling customer support – we have AI agents for all kinds of tasks. Companies often spend hundreds of thousands of dollars on hiring customer support staff who can understand the […] The post How to Build an Intelligent FAQ Chatbot Using Agentic RAG and LangGraph appeared first on Analytics Vidhya.
AI agents are now a part of enterprises big and small. From filling forms at hospitals and checking legal documents to analyzing video footage and handling customer support – we have AI agents for all kinds of tasks. Companies often spend hundreds of thousands of dollars on hiring customer support staff who can understand the […] The post How to Build an Intelligent FAQ Chatbot Using Agentic RAG and LangGraph appeared first on Analytics Vidhya.
Todays threat landscape is marked by increasingly sophisticated cyberattacks. Ransomware incidents grew by 18% in 2024 , while the Dark Angels cybercrime group walked away from a single attack with a payout of $75 million. Ransomware-as-a-service is growing in popularity and zero-day attacks continue to be unleashed at a rapid pace. There is a clear rise in phishing, and the malicious use of artificial intelligence (AI) is bypassing traditional security measures.
Anti-money laundering (AML) investigations are among the most high-stakes, high-volume processes in financial services and theyre notoriously slow, manual, and fragmented. Investigators are stretched thin trying to reconcile Know Your Customer (KYC) records, transaction alerts, graph connections, and external watchlists, all while under regulatory pressure to move fast and document every step.
The Client is a prominent engineering company in India, renowned for its extensive history. For over 160 years the Client has delivered bespoke design engineering and precision manufacturing solutions, specializing in enabling seamless motion across industries that include automotive, agriculture, marine, light construction, firefighting, and railways.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Different formats, such as PPTX, DOCX, or PDF, to Markdown converter is an essential tool for content writers, developers, and documentation specialists. Having the right tools makes all the difference when converting any type of file format into Markdown. Numerous libraries and frameworks make this conversion process almost effortless and efficient.
The countdown is on. BMW plans to launch itsNew Classlineup at the end of this year. So while the electric iX3 is scheduled to roll off at the newly built plant in Debrecen, Hungary, production of the sedan is planned to start next year at BMW HQ in Munich. Accordingly, prep work is proceeding, and those in the thick of it have to ensure ongoing production continues while tomorrows can start smoothly.
Octopai and Cloudera will be attending and sponsoring the Gartner D&A in London from May 12-13. Octopai, CEO will be hosting a session on leveraging Metadata to build knowledge hub for successful enterprise AI implementation. If you are attending the event, visit us and learn more about how Cloudera and Octopai are leading the data management revolution.
Tired of wrangling JSON with scripts and regex? DuckDB lets you run SQL queries on JSON files, making structured and semi-structured data analysis a breeze.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles Datasets & Cubes : Migration from Cube to Dataset Crosstab : Summary on Crosstab with multiple Row and Column dimensions DataSources : Improve data extraction performance from database data source Predictive Use cases Assisted predictive modelling : Classification : Cust
Market research from KPMG has found many Kiwis dont trust artificial intelligence technology, even some who use it regularly. The research, released today, found 69% of New Zealanders use AI regularly. 31% reported they couldnt complete their work without the help of AI and 43% said they were concerned about being left behind if they did not use it.
Reading Time: 4 minutes The life sciences industry is standing at a crossroads. The explosion of biomedical data, breakthroughs in AI-driven drug discovery, and the demand for personalized medicine have created unprecedented opportunities. Yet, one critical issue continues to hold back progress: the failure. The post From Data Chaos to AI-Powered Innovation: How Life Sciences Can Break Free from Siloed Insights appeared first on Data Management Blog - Data Integration and Modern Data Management
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.
What does it take to deliver a seamless experience across thousands of customers, three automotive brands, and countless service touchpoints without compromising quality or consistency?
Deep within nearly every enterprise lies a massive trove of organizational data. An accumulation of transactions, customer information, operational data, and all sorts of other information, it holds a tremendous amount of value. That data, when paired with artificial intelligence (AI) models, can give businesses new insights into the way they make decisions and where to find opportunities for growth.
Modern reporting tools like Tableau and Power BI have transformed how end users visualize and analyze data. But for developers and analysts relying on REST APIs to connect these platforms to their data sources, frustrations often mount. From inconsistent data formats to performance bottlenecks, REST APIswhile powerfulwerent built to handle the complex, high-volume demands of modern BI environments.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Microsoft isnt like OpenAI, Google, and Meta; especially not when it comes to large language models. While other tech giants prefer to launch multiple models almost overwhelming the users with choices; Microsoft launches a few, but those models always make it big among developers around the world. In their latest release, they have released 2 […] The post Microsoft Launches Two Powerful Phi-4 Reasoning Models appeared first on Analytics Vidhya.
Amazon QuickSight is cloud-powered, serverless, and embeddable business intelligence (BI) service that makes it straightforward to deliver insights to your organization. As a fully managed service, Amazon QuickSight lets you create and publish interactive dashboards that can then be accessed from different devices and embedded into your applications, portals, and websites.
La alianza estratgica con Google Cloud anunciada por Bankinter permitir al banco utilizar el entorno unificado de datos del hiperescalar y le aportar una herramienta para con la que podr tomar decisiones basadas en datos y en tiempo real, seala el comunicado emitido por ambas compaas. La nueva plataforma de datos, informan, estar desplegada sobre BigQuery y se integrar con tecnologas de machine learning y de aprovechamiento desde los canales como Customer Engagement Suite, y facilitar a Bankinte
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
While AI has long been a topic of discussion within business teams, we often felt like spectators rather than actors. Today, that changes. Thanks to AI agents , we are no longer sidelined we are empowered. AI agents arent just the next chapter of enterprise AI they are the chapter being written right now.
Language models have been rapidly evolving in the world. Now, with Multimodal LLMs taking up the forefront of this Language Models race, it is important to understand how we can leverage the capabilities of these Multimodal models. From traditional text-based AI-powered chatbots, we are transitioning over to voice based chatbots. These act as our personal […] The post Building an Emergency Operator Voice Chatbot appeared first on Analytics Vidhya.
Apache Spark workloads running on Amazon EMR on EKS form the foundation of many modern data platforms. EMR on EKS offers benefits by providing managed Spark that integrates seamlessly with other AWS services and your organizations existing Kubernetes-based deployment patterns. Data platforms processing large-scale data volumes often require multiple EMR on EKS clusters.
Reading Time: 3 minutes A few months ago, I spoke with the head of data architecture at a leading European bank. Theyd just completed a multi-year investment in a modern data lakehouse platform a combination of Databricks on Azure, paired with legacy systems. The post Why Your Data Lakehouse Needs a Semantic Layer: A Story from the Trenches appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
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