Analytics Vidhya
APRIL 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven world, organisations work with massive datasets and leverage some aspects of this data for their day-to-day operations. Data professionals in such companies prefer to have small partitions of data as it allows them to analyse and manipulate information without any hassle. […].
KDnuggets
APRIL 19, 2022
Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
APRIL 19, 2022
Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due […].
KDnuggets
APRIL 19, 2022
Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.
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
APRIL 19, 2022
The process automation, process mining, and integration categories are blurring. Vendors, by making indistinguishable claims about digital transformation and process automation, suggest similar outcomes. However, what differs are their fundamental approaches, which I call the “automation DNA” that dictates customer outcomes. In many cases, the outcomes are limited to efficiency.
Smart Data Collective
APRIL 19, 2022
Data mining technology has become very important for modern businesses. Companies use data mining technology for a variety of purposes. One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls. These factors are why companies will spend over $12 billion on data analytics for marketing solutions by 2027.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
APRIL 19, 2022
Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . To be successful, the use of data insights must become a central lifeforce throughout an organisation and not just reside within the confines of the IT team.
CIO Business Intelligence
APRIL 19, 2022
Jobs in technology are plentiful, as evidenced by the nearly 388,000 postings in February, according to a report from CompTIA. Such figures fuel the fight for talent, says Vince Kellen, CIO of University of California San Diego, but he has a plan to compete in this job market. Kellen is embracing temporary workers, seeing both contractors and freelancers as an integral part of his staffing strategy.
KDnuggets
APRIL 19, 2022
Statistical performance metrics aren’t enough to pick the right models to bring to market.
CIO Business Intelligence
APRIL 19, 2022
In recent times, the phrase “data is the new oil” has become an overused cliché. However, while it has helped create awareness around the value of data, many companies are still struggling to realise the full potential from the data they’re accumulating. Simply collecting data isn’t enough – it needs to be collated, stored and analysed effectively and efficiently so that the trends and intelligence it holds can be trusted to formulate strategy.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
TDAN
APRIL 19, 2022
Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due to its unique proposition as the integrated enterprise repository of data, is playing an even more important role in this […].
CIO Business Intelligence
APRIL 19, 2022
Sovereign cloud is not a new concept. It has just become very topical due to a changing geopolitical landscape and new regulations that affect control of data. To put it briefly, sovereign cloud provides a smart solution for an international battle of digital sovereignty, but let’s dig a little deeper. Behind the move to make clouds sovereign is the need for digital sovereignty.
TDAN
APRIL 19, 2022
Data driven organizations are innovating faster than ever. Data Science program maturity and processes enablement is one of the reasons why we see solutions like asset allocation, campaign management, agent effectiveness, customer churn, price forecasting and predictive equipment maintenance as some recent go to market “data products or data services”.
Dataiku
APRIL 19, 2022
This blog is a guest post from our friends at DataDrive. They are a modern analytics firm located in Minneapolis, Minnesota focused on delivering impactful data-driven outcomes through their unique Human Centered Data™ approach. They create best-in-class data products and business solutions that help teams realize the full power and potential of analytics by focusing on the last mile of analytics.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
TDAN
APRIL 19, 2022
There are always new terms being introduced in the data world. While newfangled terms like “data mesh” and “data fabric” require lengthy descriptions, the term “critical data element” or CDE is easier to explain. But… as the name implies, CDEs are critical – not only to data management, data governance, and data quality success, but […].
Aryng
APRIL 19, 2022
“It’s not the customer’s job to know what they want.” – Steve Jobs Back in the days when there were no automobiles, if Henry Ford had asked people what they wanted, they would have said “faster horses.” Companies cannot innovate by asking people what they want, they need to be more proactive, they need to […] The post How to get started with Customer Segmentation appeared first on Aryng's Blog.
TDAN
APRIL 19, 2022
Consumers’ digital footprint is increasing in the personalized era of Advertising and Marketing, and Big Data Analytics will help businesses achieve high customer retention rate. Big data has become a buzzword in today’s competitive era. It is a valuable asset that transforms the relationship between business and their customers. Recent advancements in big data technology […].
Andrew White
APRIL 19, 2022
I read with great interest a report from Grant Thornton and the Data Foundation that is ‘state of the union’ for the US Federal Data Strategy. Here it is: On the maturation of data governance in U.S. Federal agencies. I found the report helpful as a general report on what’s going on. But I feel that the summary pulls it’s punches. I think it fails to call out critical issues that need to be addressed if the goals of the Federal Data Strategy are to be achieved.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
TDAN
APRIL 19, 2022
I know very few people who specialize in one area of IT/business architecture yet have practical knowledge of how all of the areas fit together. Roger Burlton is one of those people. Roger has expertise in business process management, but has deep and vast knowledge of all facets of an organization’s business architecture. It is […].
Nutanix
APRIL 19, 2022
Nutanix, a global leader in cloud software and a pioneer in hyperconverged infrastructure solutions, has joined forces with OVHcloud, a global cloud provider specializing in delivering industry-leading performance and cost-effective solutions to help customers solve their infrastructure challenges.
TDAN
APRIL 19, 2022
Top Down vs. Bottom Up Have you heard the terms “top-down” or “bottom-up” associated with approaches to Data Governance? If so, do you think top down is the only way to execute your Data Governance Program? Well think again… A top-down approach to Data Governance is usually driven by regulations, audits, compliance or it’s a […].
Smart Data Collective
APRIL 19, 2022
Machine learning technology has led to some major changes in the world of online c ommerce. Many web developers are using machine learning to streamline many aspects of the design process. They are also using AI to improve the quality of their designs and create more engaging features that wouldn’t have been possible with traditional JavaScript or other programming language code.
Advertisement
“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Smarten
APRIL 19, 2022
Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. Sentiment Analysis enables businesses with easy-to-use tools that provide insight into what customers, stakeholders and others are thinking, thereby allowing business teams to improve products and services. Sentiment Analysis can take your business to the next level by helping you to understand what your customers and potential customers think, understand
Alation
APRIL 19, 2022
“The ability to imagine and generate new ideas with speed and to implement them through global collaboration is the most important competitive advantage.” —Thomas Friedman, The World Is Flat. Globalization has leveled the playing field. Threats to your business are no longer constrained by distance or geography. Leading companies see the cloud as a key to competitive advantage.
Smarten
APRIL 19, 2022
If your business is ready to implement a BI tool and augmented analytics solution, there are some things you will need to do first. If you plan correctly, you will enjoy a successful implementation. If you do not perform an assessment, understand your requirements and choose the right option, you are likely to fail in your initiative and your ROI and TCO will not meet expectations.
Expert insights. Personalized for you.
307 
Let's personalize your content