Analytics Vidhya
MAY 9, 2024
Introduction Acquiring knowledge Python provides a variety of options for programmers, regardless of skill level. It is rewarding and pleasant with its simple syntax and large library ecosystem. You can make a lot of different kinds of applications with Python, from simple python code to difficult software packages. This guide provides resources, pointers, and guidance […] The post How to Learn Python?
David Menninger's Analyst Perspectives
MAY 9, 2024
The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm. In fact, we assert that through 2026, one-half of all AI investments will be based on generative rather than predictive AI.
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DataKitchen
MAY 7, 2024
DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One Day DataOps training (paid) Data Observability (the first step in DataOps) I deas and Principles of Data Observability Four-part Da
CIO Business Intelligence
MAY 9, 2024
The rapid rise of artificial intelligence — especially generative AI — is prompting many organizations to hire or promote a chief AI officer (CAIO). To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years.
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.
KDnuggets
MAY 8, 2024
The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.
Analytics Vidhya
MAY 9, 2024
Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. It involves dividing a training dataset into multiple subsets and testing it on a new set. This prevents overfitting by encouraging the model to learn underlying trends associated with the data. The goal is to develop a model that […] The post Guide to Cross-validation with Julius appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
IBM Big Data Hub
MAY 8, 2024
Amid the dynamic realms of modern business and technology, organizations seek to maintain a competitive edge and elevate business outcomes and user experiences through their SAP investments. The crux of this endeavor lies in fostering continuous value creation throughout the journey. Drawing from my experience with clients across expansive, multi-year SAP engagements, there are three areas where collaborative value creation and charting future roadmaps intertwine seamlessly. 1.
CIO Business Intelligence
MAY 9, 2024
Technology has enabled Ally Financial to move at the speed of customers, embrace and drive disruptions, and see around corners to anticipate and stay ahead of trends. Helping lead the continual evolution of the nation’s largest all-digital bank are two award-winning technology executives: Sathish Muthukrishnan, Ally’s chief information, data, and digital officer, and Donna Hart, the company’s CISO.
KDnuggets
MAY 8, 2024
Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.
Analytics Vidhya
MAY 9, 2024
Google DeepMind has just unveiled AlphaFold 3, a revolutionary AI model redefining biomolecular modeling. Unlike its predecessors, AlphaFold 3 extends its modeling skills beyond proteins. This new model is capable of generating DNA, RNA, and smaller molecules known as ligands. Its breakthrough technology promises to accelerate advancements across various scientific disciplines.
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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?
DataKitchen
MAY 10, 2024
The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount. Data evaluation serves as a safeguard, ensuring that only cleansed and reliable data makes its way into your systems, thus maintaining the overall health of your data ecosystem.
IBM Big Data Hub
MAY 6, 2024
The global economy runs on transactions, and 70% of transactions by value run through an IBM Z® mainframe. Many of the world’s largest enterprises rely on IBM Z to support their core business, and by a process of continued innovation, IBM Z brings industry-first technologies to our clients with each new generation. Modern mainframe skills are critical as businesses implement AI, modernize their applications, integrate across the enterprise and continue digital transformation.
CIO Business Intelligence
MAY 7, 2024
Digital transformation remains top of mind worldwide. According to Foundry’s State of the CIO 2024 study, technology leaders will be focused on driving digital innovation, redesigning processes, and modernising infrastructure and apps in the next three years in order to stay ahead. At the same time, Artificial Intelligence (AI) is quickly becoming recognised as a keystone for future growth.
KDnuggets
MAY 7, 2024
Want to run large language models on your machine? Learn how to do so using Ollama in this quick tutorial.
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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.
Analytics Vidhya
MAY 8, 2024
Introduction The race for AI supremacy between the USA vs China has captivated the world, with both countries recognizing the immense economic and geopolitical implications of leading in this transformative technology. The United States holds a strong position in Generative AI, with widely accepted models like GPT-4, DALL-E 3, and Gemini Advanced; pushing the boundaries […] The post China vs USA: Who is Losing the AI Race?
DataKitchen
MAY 10, 2024
The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. Data ingestion monitoring, a critical aspect of Data Observability, plays a pivotal role by providing continuous updates and ensuring high-quality data feeds into your systems.
Cloudera
MAY 9, 2024
The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! The theme of this year’s summit, “Generating Value Together: Creating Synergies between Data, Analytics & AI,” could not have come at a better time as we push forward on our AI and analytics journey together.
CIO Business Intelligence
MAY 7, 2024
Martin Bayer: At the moment, user companies are still hesitant to adopt cloud computing, but also SAP’s RISE and GROW programs, especially in Germany. Last year’s message that certain core innovations would only be offered in the cloud has also caused some resentment among users. How do you want to take your customers with you on their journey? Christian Klein: I understand there’s some reluctance among [German-speaking SAP user group] DSAG and some other customers to embrace the cloud.
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.
KDnuggets
MAY 3, 2024
Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.
Analytics Vidhya
MAY 8, 2024
Digital Green, an organization that creates solutions for better farming, has teamed up with OpenAI to launch Farmer.Chat. This new generative AI-driven assistant aims to help farmers boost their agricultural productivity. The AI chatbot, launched in India, brings great hope to the farming community in the country. Let’s explore the transformative potential of Farmer.Chat and […] The post OpenAI is Helping Indian Farmers Increase Crop Yields appeared first on Analytics Vidhya.
DataKitchen
MAY 10, 2024
The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. This blog explores the third of five critical use cases for Data Observability and Quality Validation—data Production—highlighting how DataKitchen’s Open-Source Data Observability solutions empower organizations to manage this critical s
The Data Visualisation Catalogue
MAY 6, 2024
The Box-Percentile Plot was developed by Warren W. Esty and Jeffrey D. Banfield in their 2003 paper The Box-Percentile Plot. It is considered an improvement over the traditional Box Plot as it provides a more informative display of the data distribution shape, especially for skewed or multimodal data, while still being a compact visualisation. Box-Percentile Plots display the same summary statistics as regular Box Plots (median, quartiles, minimum, and maximum), but instead use line markers on a
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene
CIO Business Intelligence
MAY 7, 2024
For IT leaders experiencing skills gaps in the data center and cloud, Red Hat believes it may have an answer. At Red Hat Summit 2024 in Denver today, the company announced plans to extend its Red Hat Lightspeed generative AI capabilities across all its platforms, including Red Hat OpenShift and Red Hat Enterprise Linux (RHEL). By infusing gen AI functionality across its portfolio, Red Hat aims to reduce the complexity of enterprise IT and help platform engineers and developers be more accurate a
KDnuggets
MAY 6, 2024
Data analyst tools encompass programming languages, spreadsheets, BI, and big data tools. Here are 9ish tools that cover all the tasks of data analysts well.
Analytics Vidhya
MAY 9, 2024
Introduction In the dynamic world of software development, efficiency and accuracy are of utmost importance. Advanced tools that enhance these aspects can significantly transform how developers build and maintain software. Most of today’s technologies support coding by harnessing the power of artificial intelligence (AI). They actively improve the coding process by automating routine tasks, optimizing […] The post IBM Granite Code Models: A Family of Open Foundation Models for Code I
DataKitchen
MAY 10, 2024
The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This blog post delves into the third critical use case for Data Observation and Data Quality Validation: development and Deployment.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
IBM Big Data Hub
MAY 8, 2024
The recent validated what many of us in the industry already knew: Identity has become the leading attack vector. The 2024 report showed a 71% increase in valid identities used in cyberattacks year-over-year. What really puts it into perspective is the realization that you are just as likely to have your valid identity used in a cyberattack as you are to see a phishing attack in your organization.
CIO Business Intelligence
MAY 3, 2024
United Parcel Service last year turned to generative AI to help streamline its customer service operations. The in-house developed project, Message Response Automation (MeRA), is already delivering. MeRA, which was initiated last July and went into beta testing in October, leverages publicly available large language models (LLMs) to automate the handling of some customer issues, providing consistent messaging and significant improvement of agent efficiency, aka handle time, according to the mult
KDnuggets
MAY 6, 2024
Want to learn more about Artificial Intelligence? These five courses from Stanford will help you kickstart that journey.
Analytics Vidhya
MAY 8, 2024
Introduction to Ludwig The development of Natural Language Machines (NLP) and Artificial Intelligence (AI) has significantly impacted the field. These models can understand and generate human-like text, enabling applications like chatbots and document summarization. However, to fully utilize their capabilities, they need to be fine-tuned for specific use cases.
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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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