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Field service is an often-overlooked area of the service equation, in part because managing its operations involves tools and activities outside of normal contact center models. Field service has a communications component, which is partly handled by contact centers. However, the bulk of field service management activity has to do with organizing the work of technicians and dispatchers.
In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.
CIOs are an ambitious lot. Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more.
In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg.
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
In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.
Fine-tuning large language models (LLMs) is an essential technique for customizing LLMs for specific needs, such as adopting a particular writing style or focusing on a specific domain. OpenAI and Google AI Studio are two major platforms offering tools for this purpose, each with distinct features and workflows. In this article, we will examine how […] The post Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio appeared first on Analytics Vidhya.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Increasingly, however, CIOs are reviewing and rationalizing those investments. Are they truly enhancing productivity and reducing costs? In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Increasingly, however, CIOs are reviewing and rationalizing those investments. Are they truly enhancing productivity and reducing costs? In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester.
Google Analytics 4 (GA4) provides valuable insights into user behavior across websites and apps. But what if you need to combine GA4 data with other sources or perform deeper analysis? Thats where Amazon Redshift and Amazon AppFlow come in. Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions.
A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. This isnt just a new label or even AI washing.
Elon Musks xAI has just completed the pretraining of Grok 3, a massive upgrade over its predecessor, Grok 2, with 10 times more computational power. But is this enough to outpace rivals like OpenAI and Google DeepMind? Lets break it down. Grok 3: 10X More Compute Power Than Grok 2 Grok 3 was trained on […] The post Elon Musks Grok 3: 10X Power, But Can it Beat ChatGPT?
Despite the huge promise surrounding AI, many organizations are finding their implementations are not delivering as hoped. Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue
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.
Introduction In the real world, obtaining high-quality annotated data remains a challenge. Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective. Therefore we explored how GenAI could automate several stages of the graph-building pipeline.
Just eight days into 2025, and the AI community is buzzing with incredible launches. The latest to make waves? Microsofts Phi-4, now available on HuggingFace with an MIT license! AI developers have been eagerly awaiting this release, and its finally here. What is Phi-4? Phi-4 is Microsofts latest small language model, introduced in December 2024. […] The post Phi-4 Available on HuggingFace: A Big Thanks to Clem Delangue!
Australian retailers have spent much of the last few years buffeted by economic challenges. In 2024, squeezed by the rising cost of living, inflationary impact, and interest rates, they are now grappling with declining consumer spending and confidence. But 2025 and 2026 will bear good news, according to Deloitte. A rebound is on the horizon, which means a substantial opportunity for growth for those retailers that can get ahead of the curve.
As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.
Use Agentic AI for Autonomous Workflow and Task Completion Artificial Intelligence (AI) is advancing, evolving and changing at lightning speed. It is nearly impossible to keep up with the changes, and to understand what, if anything, each of the new products and developments can offer to a business. One of the newest stars in the AI universe is Agentic AI.
The New York Times recently published a love letter to a data tool. The recipient of this adoration is the economic data solution provided by the St. Louis Federal Reserve and affectionally called FRED. The article starts: Fans post about him on social media. Swag bearing his name sells out on the regular. College professors dedicate class sessions and textbook sections to him.
Vectors are the basis for the majority of the most complex artificial intelligence applications, including semantic search or anomaly detection. In this article, we start right at the front with the basics of embeddings, moving on to understand sentence embeddings and vector representations. Well discuss simple practical approaches including mean pooling, cosine similarity and architecture […] The post Exploring Embedding Models with Vertex AI appeared first on Analytics Vidhya.
IT may be central to modern existence, but the people and processes of IT remain a mystery to most business executives and colleagues. Its time to change this. I asked a group of business executives to take out a blank sheet of paper, draw a big circle, and label it IT People and Processes. I then asked them to draw a circle inside that circle representing the degree to which they understood IT people and processes.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Data teams spend countless hours creating data products for the business, but turning those products into actionable insights is no small feat. Modern teams face mounting challenges as they work to bridge the gap between raw data and informed decision-making. From scattered tools to manual processes, the road to creating meaningful insights can feel like an uphill battle.
The field of artificial intelligence is changing rapidly. Therefore, to keep abreast of the most recent research, reviewing Papers on Hugging Face is essential. Hugging Face has created a unique space where researchers not only share their work but can also engage with the community by upvoting, commenting, and discussing with others. This platform helps […] The post Top 9 Upvoted Papers on Hugging Face appeared first on Analytics Vidhya.
With data central to every aspect of business, the chief data officer has become a highly strategic executive. Todays CDO is focused on helping the organization leverage data as a business asset to drive outcomes. This includes developing a data-driven culture where data and analytics are integrated into all functions and all employees understand the value of data, how to use it, and how to protect it.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.
With powerful models and features released at breathtaking speeds and a competitive playing field denser than ever before, 2024 was a dizzying year in the field of large language models (LLMs). It also ended with a raft of spectacular announcements. In this blog post, we review the most significant technological trends of the past year and discuss how practitioners can take advantage of them.
Happy New Year to the readers! As the first month of 2025 began, my curiosity to learn about AI Agents deepened, leading me to explore their vast potential and applications. Today, I have tried the SmolAgents open-source framework by Hugging Face. Let’s get started! The year 2025 is said to be the year of AI […] The post SmolAgents by Hugging Face: Build AI Agents in Less than 30 Lines appeared first on Analytics Vidhya.
Para quienes no estn familiarizados con el nombre, Thyssenkrupp es un conglomerado de compaas alemanas especializadas en ingeniera industrial y produccin de acero. En los ltimos aos, la organizacin ha descubierto cmo encarar uno de los grandes desafos que acechaba a la industria: la falta de talento cualificado. Para ello, como viene siendo habitual en los tiempos modernos, la compaa ha recurrido a la tecnologa, en este caso, a la inteligencia artificial (IA) generativa.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
At Dataiku Everyday AI events in Dallas, Toronto, London, Berlin, and Dubai this past fall, we talked about an architecture paradigm for LLM-powered applications: an LLM Mesh. What actually is an LLM Mesh? How does it help organizations scale up the development and delivery of LLM-powered applications? This blog post breaks down the key highlights and takeaways from that session, answering those questions along the way.
As we leap into 2025, AI is sprinting ahead, reshaping industries, careers, and how we live. Back in 2024, Srikanth Velamakanni, Fractal.ais co-founder, made bold AI predictions. Did they hit the mark? Let’s find out! Srikanth Velamakanni’s 2024 Predictions The first five predictions focused on Large Language Models (LLMs) and Foundation Models.
A sharp rise in enterprise investments in generative AI is poised to reshape business operations, with 68% of companies planning to invest between $50 million and $250 million over the next year, according to KPMGs latest AI Quarterly Pulse Survey. The report underscores a growing commitment to AI-driven innovation, with 67% of business leaders predicting that gen AI will transform their organizations by 2025.
Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.
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