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Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?
AI Governance and data governance are both crucial for modern organizations, but they serve distinct purposes. Can you tell the difference between them? Understanding these differences is vital, especially with the introduction of the EU AI Act, which requires organizations to rethink their AI management strategies. In this blog post, we’ll explore these distinctions and explain why it's important to differentiate between the two.
Following a legislative review of state purchases in fiscal year 2022, the state of Oklahoma discovered that its agencies had procured more than $3 billion worth of goods and services outside the oversight of its Office of Management and Enterprise (OMES) Central Purchasing division. “Understandably, state leaders were concerned,” says CIO Joe McIntosh.
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.
The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.
Also knowns as a Rectangular Cartogram. A Raisz Cartogram is a Cartogram variation where each geographical region is represented by a rectangle, with the area being proportional to the data value being visualised geographically. The height and width of each rectangle in a Raisz Cartogram are adjusted to fit within the original geographical region shape as much as possible.
Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. For example, financial analysts currently have to manually read and summarize lengthy regulatory filings and earnings transcripts in order to respond to Q&A on investment strategies.
In today’s data-driven world, the data visualization specialist plays a pivotal role in transforming complex information into visually appealing formats. The demand for skilled professionals in this field is rapidly increasing as businesses rely more on data for decision-making and operations. As companies seek to leverage data visualization expertise, individuals with the ability to present data in innovative ways are highly sought after.
Virtually every organization recognizes the power of data to enhance customer and employee experiences and drive better business decisions. Yet, as data becomes more valuable, it’s also becoming harder to protect. Companies continue to create more attack surfaces with hybrid models, scattering critical data across cloud, third-party and on-premises locations, while threat actors constantly devise new and creative ways to exploit vulnerabilities.
Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.
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
Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives. The State of Generative AI in the Enterprise report from Deloitte found that 75% of organizations expect generative AI technology to impact talent strategies within the next two years, and 32% of organizations that reported “very high” levels of generative AI expertise
Designing a full stack search application requires addressing numerous challenges to provide a smooth and effective user experience. This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability.
Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.
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.
It was truly a good use of time attending the 33rd RSA Conference in San Francisco, along with over 40,000 attendees, networking with the leading minds in the cybersecurity industry. For many, this spring’s RSA show was an energized, optimistic experience, similar to the pre-pandemic years of 2017-2019. There was a definite buzz about cybersecurity investments and M&A picking up steam, AI-based defense and AI-delivered industry models, and overall product innovation.
AWS recently announced that Apache Flink is generally available for Amazon EMR on Amazon Elastic Kubernetes Service (EKS). Apache Flink is a scalable, reliable, and efficient data processing framework that handles real-time streaming and batch workloads (but is most commonly used for real-time streaming). Amazon EMR on EKS is a deployment option for Amazon EMR that allows you to run open source big data frameworks such as Apache Spark and Flink on Amazon Elastic Kubernetes Service (Amazon EKS) c
Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex 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.
Today’s organizations face challenges from multiple directions, including threats to the business from state-sponsored cyberattacks, geopolitical turmoil, inflation, and a shortage of security skills. For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies.
Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! In this fast-paced world, Kinesis Data Streams stands out as a versatile and robust solution to tackle a wide range of use cases with real-time data, from dashboarding to powering artificial intelligence (AI) applications. In this series, we streamline the process of identifying and applying the most suitable architecture for your business requirements, and help kickstart
Introduction AI is growing quickly, and multimodal AI is among its best achievements. Unlike traditional AI systems that can only process a single type of data at a time, e.g., text, images, or audio, multimodal AI can simultaneously process multiple input forms. This allows the AI system to understand the input data more comprehensively, leading […] The post What Future Awaits with Multimodal AI?
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Accenture was going through a period most companies would envy. The Dublin-based, global professional services leader had grown significantly organically and inorganically, including expanding into diverse businesses, propelled by $14 billion invested in more than 177 acquisitions in the last five years. As the company grew and expanded into new markets and services, its legacy Enterprise Resource Planning (ERP) system became increasingly complex, costly, and inflexible.
Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their busine
Introduction Python is the favorite language for most data engineers due to its adaptability and abundance of libraries for various tasks such as manipulation, machine learning, and data visualization. This post looks at the top 9 Python libraries necessary for data engineers to have successful careers. We will look at each library’s unique features and […] The post Top 9 Python Libraries for Data Engineers appeared first on Analytics Vidhya.
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.
Consulting firm PwC announced Wednesday that it is accelerating its adoption of generative AI in the US and UK through an agreement with OpenAI that it said makes it both the first reseller for ChatGPT Enterprise and the product’s largest user. “PwC consultants are leveraging the capabilities of ChatGPT Enterprise as a valuable tool in their work,” said partner and GenAI leader at PwC, Bret Greenstein.
Many organizations use external identity providers (IdPs) such as Okta or Microsoft Azure Active Directory to manage their enterprise user identities. These users interact with and run analytical queries across AWS analytics services. To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management (IAM) roles within AWS, and access policies are applied to these IAM roles by data administrators.
Introduction Text summarization is an essential part of natural language processing (NLP) that tries to shorten enormous amounts of text and make more readable summaries while retaining crucial information. Given the expansion of internet material, good summarizing techniques are essential for various applications, such as academic research, content generation, and news summaries.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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