Analytics Vidhya
OCTOBER 25, 2022
This article was published as a part of the Data Science Blogathon. Introduction Web 3.0 revolution is the next generation of the World Wide Web, where the focus is on data-driven applications and content. It is based on the Web 3.0 stack, which includes a semantic web, a social web, and a mobile web. Web […]. The post Web 3.0 Revolution: A New Era appeared first on Analytics Vidhya.
CIO Business Intelligence
OCTOBER 25, 2022
This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure.
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Analytics Vidhya
OCTOBER 25, 2022
This article was published as a part of the Data Science Blogathon. Introduction The phrase “machine learning” was invented by Arthur Samuel at IBM. Machine learning is a part of Artificial Intelligence. Machine learning is the process of learning from data and applying math to increase accuracy. There are four different types of machine learning.
KDnuggets
OCTOBER 25, 2022
As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.
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.
Smart Data Collective
OCTOBER 25, 2022
Artificial intelligence has helped many commercial businesses improve their operations. However, many public entities are also leveraging AI technology to serve the public more efficiently. Even many libraries have started taking advantage of AI technology. We talked about the opportunities to use big data for library marketing , but there are other advantages as well.
CIO Business Intelligence
OCTOBER 25, 2022
The move to digital business has wrought profound changes in certain industries, and financial services is one of them. Not only are traditional financial services companies using data and technology to change the game, a plethora of “FinTech” startups are using digital products to dislodge traditional players. This podcast features Peter Ku. Vice President, Chief Industry Strategist for financial services for Informatica.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
OCTOBER 25, 2022
By Milan Shetti, CEO Rocket Software In today’s volatile markets, agile and adaptable business operations have become a necessity to keep up with constantly evolving customer and industry demands. To remain resilient to change and deliver innovative experiences and offerings fast, organizations have introduced DevOps testing into their infrastructures.
Teradata
OCTOBER 25, 2022
Developing an IT sustainability strategy can bring major positive change across the enterprise, lowering costs and optimizing resource use.
CIO Business Intelligence
OCTOBER 25, 2022
Fueled by strong sales of cloud-based ERP software that more than offset a decline in revenue from on-premises applications, SAP revenue jumped in the third quarter compared to the year-earlier period, according to company’s quarterly financial report, released Tuesday. Total revenue for the quarter ending Sept. 30 was €7.84 billion (US$7.72 billion), up 15, or 5% in constant currency terms, which exclude the effect of currency fluctuations.
Aryng
OCTOBER 25, 2022
Often, an analyst is a person who extracts necessary values from the database and produces values and insights for business managers. And thereby, the faster one can do this, the better analyst they are. Sounds familiar? This post elaborates on the common misconception that the best analysts are the fastest order takers. Speed of insights […] The post Mythbuster: The best analysts are the fastest order takers appeared first on Aryng's Blog.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
CIO Business Intelligence
OCTOBER 25, 2022
If there is one universal truth, it’s that fashion is fickle. In the apparel industry, what’s in fashion one day may be out of fashion the next. So, if you’re an apparel manufacturer, you need the most efficient, responsive, and innovative operation possible. That way, you can keep up with ever-changing demand and stay in fashion with your retailer customers — as Crystal International Group, Ltd.
Dataiku
OCTOBER 25, 2022
As a former Microsoft software engineer, I thought my Windows days were over when I started to work at Dataiku. Yet, fate caught up to me when I was asked to leverage my Windows experience to help port Dataiku to Windows. In this post, I will run you through the process that enabled Dataiku’s engineering team to port Dataiku’s free edition and its Launcher to the Windows world.
DataKitchen
OCTOBER 25, 2022
Part 2: Introducing Data Journeys. This is the second post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
CIO Business Intelligence
OCTOBER 25, 2022
Companies are angling for the pay-per-use pricing, scalability, and flexibility advantages of public cloud, yet not every application or workload is a fit for the paradigm. Enter the Advizex/HPE GreenLake partnership, which tackles hybrid IT challenges by replicating the cloud experience wherever workloads are running and without the typical operational complexities.
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.
Cloudera
OCTOBER 25, 2022
Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.
Alation
OCTOBER 25, 2022
Data without action is worthless. It’s how you choose to interpret and act on it that creates worth. “BI itself has minimal value,” echoes CIO Martin Davis. “Doing something with it that impacts the business is where the value is. By the same argument, data cycle time has no value. Therefore, the value comes from better business decisions and reducing business cost.”.
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