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If youre a student or early professional eager to apply your Machine Learning skills in the real world, an internship is your best starting point. From GenAI-driven logistics to AI-powered finance and legal tech, companies across India are offering exciting ML roles that go far beyond textbook theory. These internships dont just pay – they […] The post 5 Machine Learning Internships in India (2025) appeared first on Analytics Vidhya.
Breaking into data science has never been easy. In this tutorial, well make your life easier by providing you with a step-by-step roadmap for data science beginners.
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.
Thanks so much for joining us today. We have over 20,000 people signed up for this event, both subscribers on the oreilly.com platform and those who arent yet subscribers. I think youre here because you all sense what I do: we’re witnessing not the end of programming, but its remarkable expansion. This is the most exciting moment in software development that I’ve seen during my more than 40 years in this industry.
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.
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.
If you look at the past 1 year, the browsing game has changed drastically. It all started with Perplexity and Co-pilot offering more detailed and personalized answers to search queries, and got amplified when ChatGPT added the web search option in its interface. Fast forward to today, all LLMs, be it Grok, Qwen, DeepSeek, kimi, […] The post Try Fellou AI and Say Goodbye to Google and ChatGPT appeared first on Analytics Vidhya.
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.
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.
Customers use Amazon OpenSearch Service to store their operational and telemetry signal data. They use this data to monitor the health of their applications and infrastructure, so that when a production issue happens, they can identify the cause quickly. The sheer volume and variety in data often makes this process complex and time-consuming, leading to high mean time to repair (MTTR).
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.
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.
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.
With OpenSearch version 2.19, Amazon OpenSearch Service now supports hardware-accelerated enhanced latency and throughput for binary vectors. When you choose the latest-generation, Intel Xeon instances for your data nodes, OpenSearch uses AVX-512 acceleration to bring up to 48% throughput improvement vs. previous-generation R5 instances, and 10% throughput improvement compared with OpenSearch 2.17 and below.
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.
For every Python programmer, whether in the domain of data science and machine learning or software development, Python slicing operations are one of the most efficient, versatile, and powerful operations. Python slicing syntax allows the extraction and modification of data structures like Lists, Strings, Tuples, Arrays, Pandas DataFrames, and even byte sequences.
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.
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.
For modern organizations built on data insights, effective data management is crucial for powering advanced analytics and machine learning (ML) activities. As data use cases become more complex, data engineering teams require sophisticated tooling to handle versioning, increasing data volumes, and schema changes across multiple data sources and applications.
Looking for the right text-to-speech model? The 1.6 billion parameter model Dia might be the one for you. Youd also be surprised to hear that this model was created by two undergraduates and with zero funding! In this article, youll learn about the model, how to access and use the model and also see the […] The post Dia-1.6B TTS : Best Text-to-Dialogue Generation Model appeared first on Analytics Vidhya.
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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.
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
Amazon SageMaker Catalog , part of the next generation of Amazon SageMaker , now supports authorization policy for asset type usage a new governance capability that gives organizations fine-grained control over who can create and manage custom assets based on specific asset types. This enhancement brings scalable, policy-driven governance to enterprise data publishing workflows across diverse business domains.
Model Context Protocol (MCP) often described as the USB-C for AI agents, is the de-facto standard for connecting large language model (LLM) assistants with third-party tools and data. It enables AI agents to plug into various services, run commands, and share context seamlessly. However, its not secure by default. In fact, if youve been indiscriminately […] The post 6 Major Vulnerabilities of MCP appeared first on Analytics Vidhya.
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.
Ensure ROI, TCO and User Adoption with the Right BI Tools When a business sets out to implement BI tools or self-serve augmented analytics, it must consider the entire technology landscape of the business, the expectations of end-users, the cost of the solution, how easily it can be upgraded and integrated and, wellso much more! To ensure user adoption and achieve the ROI and TCO the business deserves, take the time to do the work.
This post is co-written with Roy Ninio from Appsflyer. Organizations worldwide aim to harness the power of data to drive smarter, more informed decision-making by embedding data at the core of their processes. Using data-driven insights enables you to respond more effectively to unexpected challenges, foster innovation, and deliver enhanced experiences to your customers.
Building applications with large language models (LLMs) is exciting, as it lets us create smart, interactive systems. However, making these apps more complex brings along challenges, especially when several LLMs work together. So, how do we manage the flow of information between them? How do we make sure they work smoothly and understand the task? […] The post LangGraph Tutorial for Beginners appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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