Analytics Vidhya
JUNE 3, 2024
Introduction Building and optimizing Retrieval-Augmented Generation (RAG) pipelines has been a rewarding experience. Combining retrieval mechanisms with language models to create contextually aware responses is fascinating. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.
CIO Business Intelligence
JUNE 3, 2024
CIOs and HR managers are changing their equations on hiring and training, with a bigger focus on reskilling current employees to make good on the promise of AI technologies. That shift is in no small part due to an AI talent market increasingly stacked against them. With AI talent in high demand, the shortage of AI technicians available will only get worse, some hiring experts say, as job postings for workers with AI expertise are growing 3.5 times faster than for all jobs, according to a recent
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Analytics Vidhya
MAY 27, 2024
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?
CIO Business Intelligence
MAY 30, 2024
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.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr
KDnuggets
MAY 28, 2024
Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.
IBM Big Data Hub
MAY 31, 2024
The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Recent research commissioned by IBM® indicates that as many as 42% of surveyed enterprise-scale businesses have actively deployed AI, while an additional 40% are actively exploring the use of AI technology.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
MAY 30, 2024
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.
CIO Business Intelligence
MAY 30, 2024
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
KDnuggets
MAY 31, 2024
SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.
The Data Visualisation Catalogue
MAY 28, 2024
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.
Speaker: Jason Tanner
While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.
Cloudera
MAY 30, 2024
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.
Analytics Vidhya
MAY 28, 2024
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.
CIO Business Intelligence
MAY 29, 2024
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.
KDnuggets
MAY 27, 2024
Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
AWS Big Data
MAY 31, 2024
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.
Dataiku
MAY 31, 2024
Hello and welcome to our final installment of the Alteryx to Dataiku series! If you missed the previous articles, they can be found here. For today’s episode, let’s have a look at some other, less obvious but still important differences between the two platforms, and what the effects of these differences are.
Analytics Vidhya
MAY 30, 2024
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.
CIO Business Intelligence
MAY 29, 2024
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.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
KDnuggets
MAY 29, 2024
Level up your Python skills for data science with these by following these best practices.
Cloudera
JUNE 3, 2024
We are excited to announce a tech preview of Cloudera AI Inference service powered by the full-stack NVIDIA accelerated computing platform, which includes NVIDIA NIM inference microservices , part of the NVIDIA AI Enterprise software platform for generative AI. Cloudera’s AI Inference service uniquely streamlines the deployment and management of large-scale AI models, delivering high performance and efficiency while maintaining strict privacy and security standards.
Dataiku
MAY 30, 2024
The EU AI Act is poised to become one of the most comprehensive and stringent AI regulations globally. With high standards for quality, risk management, monitoring, human oversight, and transparency, the EU AI Act aims to ensure that AI systems deployed in the European Union align with ethical standards and societal values. Non-compliance can lead to severe penalties, including fines up to €35 million or 7% of a company’s global turnover, whichever is higher.
Analytics Vidhya
MAY 29, 2024
Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information. This subject has been transformed by Transformers, which are sophisticated deep learning models that provide unmatched performance in extractive and abstractive summarization techniques.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
CIO Business Intelligence
MAY 28, 2024
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.
KDnuggets
MAY 27, 2024
A course that helps career switchers and advancers harness the power of AI to transform the way they work.
IBM Big Data Hub
MAY 28, 2024
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.
Dataiku
JUNE 3, 2024
Computation is crucial when building data products. If you're stuck with slow CPUs, you may lack the computing power needed for your innovative machine learning (ML) models and Generative AI (GenAI) projects.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Analytics Vidhya
MAY 27, 2024
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.
CIO Business Intelligence
MAY 29, 2024
SAP is expanding its AI ecosystem with a partnership with AWS. Such AI partnerships are important for SAP, said Chief Technology Officer Jürgen Müller, pointing to other cooperations, for example with IBM, the chip manufacturer Nvidia and various universities. In addition, SAP is also working closely with Microsoft and Google on AI. The cloud hyperscalers AWS, Google and Microsoft are also important platform partners to operate SAP’s cloud applications.
KDnuggets
MAY 30, 2024
Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.
Smart Data Collective
MAY 28, 2024
Dive into the role of AI in promoting fairness within the lending sector and its transformative effects.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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