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Theres a lot of chatter in the media that software developers will soon lose their jobs to AI. I dont buy it. It is not the end of programming. It is the end of programming as we know it today. That is not new. The first programmers connected physical circuits to perform each calculation. They were succeeded by programmers writing machine instructions as binary code to be input one bit at a time by flipping switches on the front of a computer.
China is advancing rapidly in generative AI, building on successes like DeepSeek models and Kimi k1.5 in language models. Now, its leading the vision domain with OmniHuman and Goku excelling in 3D modeling and video synthesis. With Step-Video-T2V, China directly challenges top text-to-video models like Sora, Veo 2, and Movie Gen. Developed by Stepfun AI, […] The post Chinas New AI Video Star: Step-Video-T2V appeared first on Analytics Vidhya.
Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball.
Perhaps we got digital transformation wrong this whole time. Instead of focusing on the transformation part, we did a lot less transforming and a lot more digitalization. Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. As a result, most businesses remain saddled with complexity, department silos, and old ways of doing things.
Speaker: Dylan Secrest, Founder of Alamo Innovation and Construction Digital Transformation Consultant
Construction payment workflows are notoriously complex when you consider juggling multiple stakeholders, compliance requirements, and evolving project scopes. Delays in approvals or misaligned data between budgets, lien waivers, and pay applications can grind progress to a halt. The good news? It doesn't have to be this way! Join expert Dylan Secrest to discover how leading contractors are turning payment chaos into clarity using digital workflows, integrated systems, and automation strategies.
Amazon SageMaker Unified Studio (preview) provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. Users can now build, deploy, and execute end-to-end workflows from a single interface.
Use Predictive Analytics for Fact-Based Decisions! Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing strategies, partnerships and other components of business
Use Predictive Analytics for Fact-Based Decisions! Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing strategies, partnerships and other components of business
In the rapidly evolving digital world of today, being able to use artificial intelligence (AI) is becoming essential for survival. Businesses may now improve customer relations, optimize processes, and spur innovation with the help of large language models, or LLMs. However, how can this potential be realised without a lot of money or experience? LLM […] The post Top 12 Free APIs for AI Development appeared first on Analytics Vidhya.
Businesses have never had access to more data than they do today. Every transaction, customer interaction, and operational process leaves a digital footprint. Yet, despite having all this information at their fingertips, many organizations struggle to translate it into meaningful action. Why? Because data without intelligence is just noise. Take a mid-sized company trying to track performance.
Birmingham City Councils (BCC) troubled enterprise resource planning (ERP) system, built on Oracle software, has become a case study of how large-scale IT projects can go awry. The system, intended to streamline payments and HR processes, is now unlikely to function correctly before 2026 four years after its 2022 launch. The project involved replacing the city councils long-standing SAP system with Oracle Cloud.
If you’re relying on JasperReports or Crystal Reports to power your data reporting and insights, you’ve likely heard the news: many popular versions are reaching end-of-life, and it’s time to start planning your next steps. Keeping up with your reporting solutions end-of-life dates arent just about deadlinesits about ensuring your organizations reporting capabilities remain reliable, secure, and future-proof.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Amazon Managed Streaming for Apache Kafka (Amazon MSK) now offers a new broker type called Express brokers. Its designed to deliver up to 3 times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90% compared to Standard brokers running Apache Kafka. Express brokers come preconfigured with Kafka best practices by default, support Kafka APIs, and provide the same low latency performance that Amazon MSK customers expect, so you can continue using existing client
The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions. We will consider how LCNC can enhance analytics, and improve performance and user adoption and how businesses, users and Citizen Data Scientists can benefit from LCNC in anal
Python has become the lingua franca for scientific computing and data visualization, thanks in large part to its rich ecosystem of libraries. One such tool that has been a favourite among researchers and practitioners alike is PyLab. In this article, we will delve into the world of PyLab, exploring its origins, features, practical use cases, […] The post A Quick Guide to PyLab appeared first on Analytics Vidhya.
Reading Time: 4 minutes In 2024, generative AI (GenAI) became top-of-mind, as companies began to leverage it for increased productivity. Additionally, storage continued to grow in capacity, epitomized by an optical disk designed to store a petabyte of data, and the global Internet population. The post Denodos Predictions for 2025 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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.
As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change. Recently, my involvement with IASA and SustainableIT.org has given me a new lens through which to view these projects: sustainability.
Oracle JD Edwards users enjoy the flexibility to customize the system to fit their specific needs. With features dedicated to different job roles, JD Edwards is a trusted system across multiple industries. But even with the advantages it offers, finance teams still grapple with growing skills gaps that prevent them from successfully completing essential tasks.
Artificial intelligence (AI) has transformed how humans interact with information in two major wayssearch applications and generative AI. Search applications include ecommerce websites, document repository search, customer support call centers, customer relationship management, matchmaking for gaming, and application search. Generative AI use cases include chatbots with Retrieval-Augmented Generation (RAG), intelligent log analysis, code generation, document summarization, and AI assistants.
Low Code No Code Development Supports Analytics Performance Within the very near future, it is estimated that 70% of all software and application design will include a component of low-code or no-code development. So, it is no surprise that analytics software and tools are also affected by this trend. While advanced analytics and augmented analytics solutions provide a sophisticated, complicated underpinning of algorithms and analytical techniques, the average enterprise expects (and should look
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.
A few years ago, I fell into the world of anime from which Id never escape. As my watchlist was growing thinner and thinner, finding the next best anime became harder and harder. There are so many hidden gems out there, but how do I discover them? Thats when I thoughtwhy not let Machine Learning […] The post How to Build an Anime Recommendation System with Hugging Face?
I recently had the opportunity to interview Robert Reuben, Managing Director of Proceed Group. In an era where data is both a critical asset and a growing challenge, he shared insights into how his organization helps businesses optimize their data landscapes, overcome common pitfalls, and prepare for the future. Experts in SAP Data Management Proceed Group have been running SAP data management projects for over 20 years, Robert noted.
AI-based humanoid robots could soon start becoming a workforce reality, thanks to parallel advances in generative AI and electromechanical components and mechatronics, enabling robots to have reasoning skills as well as physical abilities that exceed their predecessors. Were still very early in the journey, but its only going to get better, says Dwight Klappich, a research vice president at Gartner.
Your application is built to deliver value. But without strong analytics, you may be leaving ROI on the table. Until now, embedding analytics features has been an afterthought, a luxury thats hard to justify for your application. Visualizations in business intelligence software are often dismissed as a commodityinterchangeable and easily overlooked.
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.
DeepSeek-R1 is a powerful and cost-effective AI model that excels at complex reasoning tasks. When combined with Amazon OpenSearch Service , it enables robust Retrieval Augmented Generation (RAG) applications. This post shows you how to set up RAG using DeepSeek-R1 on Amazon SageMaker with an OpenSearch Service vector database as the knowledge base.
In recent years, the conversation surrounding industrialization has often focused on the idea that manufacturing belongs to the past. But, in todays rapidly evolving global landscape, manufacturing is not only relevant it is essential for the future. Industrialization refers to the large-scale development of industries, which historically led to economic growth, job creation, and technological advancements.
The AI race has been dominated by the US and China, with models like OpenAIs o3-mini and DeepSeeks R1 leading in reasoning and multilingual capabilities. Now, India is stepping up with SUTRA-R0, a reasoning model developed by TWO AI. This model is not just making its mark; it is actively challenging global AI powerhouses. SUTRA-R0 […] The post SUTRA-R0: India’s Leap into Advanced AI Reasoning appeared first on Analytics Vidhya.
On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If youre in the trenches building tomorrows development practices today and interested in speaking at the event, wed love to hear from you by March 5.
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.
At the end of 2023, Chicago-based Article Student Living was acquired by a global real estate investment company, which allowed the business to expand, and enabled it to make key investments in the high-demand student housing market. But because Article was growing so quickly, managing one of the largest student housing portfolios in the US, it needed to be more intentional about operational efficiency.
Lineos reduces manual tasks and empowers finance teams to boost productivity and uncover hidden potential within their data RALEIGH, N.C. Feb. 26, 2025 insightsoftware , the most comprehensive provider of solutions for the Office of the CFO, today announced the launch of Lineos , a suite of AI-driven capabilities designed to enhance insightsoftwares financial planning and analysis (FP&A), accounting, and operations products.
Data streaming applications continuously process incoming data, much like a never-ending query against a database. Unlike traditional database queries where you request data one time and receive a single response, streaming data applications constantly receive new data in real time. This introduces some complexity, particularly around error handling.
Ryan Trollip is a partner and a board member of Decision Management Solutions. Over the last 25 years he has focused on delivering value through automation, leading business automation delivery, and more than 15 years of specialized oversight and building decision automation services practices and software. These practices delivered large, complex decision automation solutions.
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.
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