DataKitchen

MAY 10, 2024

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data observability extends beyond simple anomaly checking, offering deep insights into data health, dependencies, and the performance of data-intensive applications. This blog post introduces five critical use cases for data observability, each pivotal in maintaining the integrity and usability of data throughout its journe

Data Quality 100

Data Quality Dashboards Strategy Testing 100

Jet Global

MAY 6, 2024

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

Finance 52

Finance Reporting Data Transformation Optimization 52

Data Virtualization

MAY 8, 2024

Reading Time: 2 minutes In this era of rapidly evolving data capabilities, organizations are ever more aware of the immense value locked inside their data assets. The movement toward thinking in terms of data products and methodologies like data mesh marks a significant shift. The post Data Products and Self-Service: Empowering Innovation in Enterprise Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Enterprise 52

Enterprise Management Data Integration Data-driven 52

Smarten

MAY 8, 2024

Smart Data Visualization and Personalized Dashboards Improve Data Insight and Team Collaboration! Augmented Analytics was designed to remove the barriers erected by the traditional business intelligence and analytics solutions. In order to achieve data democratization and improve data literacy among team members within an enterprise, the organization must provide simple, easy-to-understand solutions that display analytical results in a way that is meaningful and intuitive.

Visualization 62

Visualization Dashboards Machine Learning Business Intelligence 62

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.

Management

Data Science and Beyond

MAY 5, 2024

Fourteen questions that prospective employees should ask about a startup’s business model and product, especially for data-focused roles.

Modeling 61

Modeling 61

Dataiku

MAY 9, 2024

Right now for many organizations, self-service analytics is a wasted opportunity. At one time, the idea of self-service analytics was attractive and people believed in its potential. But, somewhere over time, companies went off track. The promise and value exchange between data creators in the center and data self-servers out in the business was never actually fully negotiated (or fulfilled, for that matter).

Analytics 52

Analytics Data-driven IT 52

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.

Machine Learning 100

Machine Learning 100

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.

Cost-Benefit 116

Cost-Benefit Technology Risk Risk Management 116

Analytics Vidhya

MAY 9, 2024

Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! But with the boon, bane comes complementary…the AI strides, its power vast and its potential great, yet within its circuits lie shadows of concern. You might have heard about the world’s first humanoid robot, Sophia, who answered affirmatively to destroy humanity in […] The post Footprints of AI: Read This Before Working on Massive AI Models appeared first on Analytics Vidhya.

Modeling 263

Modeling Analytics IT Deep Learning 263

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

Data Quality 167

Data Quality Testing Consulting Metrics 167

Advertisement

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

Analytics

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.

Finance 130

Finance Sales Data Integration Marketing 130

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.

Risk Management 128

Risk Management Risk Cost-Benefit Technology 128

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?

Software 307

Software Analytics IT 307

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.

Data Quality 100

Data Quality Interactive Dashboards Testing 100

Advertisement

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.

Visualization

KDnuggets

MAY 8, 2024

Want to build cool AI applications? Start learning AI today with these free courses from NVIDIA.

136

136

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.

Digital Transformation 120

Digital Transformation IoT Consulting Big Data 120

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.

Machine Learning 293

Machine Learning Testing Modeling Analytics 293

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.

Data Quality 100

Data Quality Testing Software Dashboards 100

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.

Experimentation

KDnuggets

MAY 7, 2024

Want to run large language models on your machine? Learn how to do so using Ollama in this quick tutorial.

Machine Learning 123

Machine Learning Modeling 123

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.

Forecasting 122

Forecasting Data Processing Software Measurement 122

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.

Modeling 286

Modeling Technology Analytics IT 286

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

Testing 100

Testing Metrics Data Quality Dashboards 100

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.

Management

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.

Measurement 91

Measurement Technology Visualization Optimization 91

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

IT 121

IT Dashboards Enterprise Data Processing 121

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?

Modeling 286

Modeling Technology Analytics 286

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.

Testing 100

Testing Cost-Benefit Data Quality Dashboards 100

Advertisement

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

Analytics

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.

Digital Transformation 98

Digital Transformation Data Processing Reporting Enterprise 98

CIO Business Intelligence

MAY 8, 2024

As the world becomes increasingly reliant on technology and driven by data, the excitement about artificial intelligence (AI) solutions continues to skyrocket. Corporate boardrooms are abuzz with discussions about exploring the possibilities of AI, and massive amounts of capital are being funneled into building AI infrastructure. Companies such Nvidia, Corestreet, and OpenAI are experiencing exponential revenue growth – and valuations, driven by this immense interest.

Metrics 115

Metrics Data-driven ROI Marketing 115

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.

Analytics 297

Analytics Technology 297

DataKitchen

MAY 10, 2024

The post The Five Use Cases in Data Observability: Ensuring Accuracy in Data Migration first appeared on DataKitchen.

100

100

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

Manufacturing