CIO Business Intelligence

APRIL 25, 2024

With more than 1 billion users globally, LinkedIn is continuously bumping against the limits of what is technically feasible in the enterprise today. For LinkedIn, this was no different, as its road to LLM insights was anything but smooth, said LinkedIn’s Juan Bottaro, a principal software engineer and tech lead.

IT 139

IT Experimentation Cost-Benefit Metrics 139

Rocket-Powered Data Science

SEPTEMBER 20, 2021

What is a semantic layer? In the early days of web search engines, those engines were primarily keyword search engines. So, I asked my students what results they would expect from such a search engine if I typed the following words into the search box: “How many cows are there in Texas?” Now it is a reality.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

O'Reilly on Data

AUGUST 18, 2020

We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms. Lessons Learned from Data Warehouse and Data Engineering Platforms. We see trends shifting towards focused best-of-breed platforms. The Two Cultures of Data Tooling.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? Is an artist’s style copyrightable, and if so, what does that mean? Is an artist’s style copyrightable, and if so, what does that mean? How do we make sense of this?

Modeling 253

Modeling Software Sales Statistics 253

DataKitchen

APRIL 18, 2024

Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. What is DataOps Observability? That’s what DataOps Observability promises.

Testing 120

Testing Data Quality Enterprise Data Analytics 120

DataKitchen

JULY 12, 2023

Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t have time to create tests. They have a backlog full of new customer features or data requests, and they go to work every day knowing that they won’t and can’t meet customer expectations.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

O'Reilly on Data

SEPTEMBER 12, 2023

That statement nicely summarizes what makes software development difficult. gets a few more features, more creep into version 1.2, OS X, which used to trumpet “It just works,” has evolved to “it used to just work”; the most user-centric Unix-like system ever built now staggers under the load of new and poorly thought-out features.

Software 306

Software Management Modeling Metrics 306

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management. You can read more about why Velox was built in Meta’s engineering blog.

Management 68

Management Optimization Data Processing Metrics 68

DataKitchen

NOVEMBER 18, 2021

Yet, among all this, one area that hasn’t been studied is the data engineering role. We thought it would be interesting to look at how data engineers are doing under these circumstances. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Testing 246

Testing Data Governance Measurement Software 246

CIO Business Intelligence

MAY 7, 2024

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 and efficient — in turn giving them more freedom to drive IT innovation. OpenShift is Red Hat’s enterprise Kubernetes container platform for deploying applications at scale.

IT 112

IT Dashboards Enterprise Data Processing 112

CIO Business Intelligence

OCTOBER 5, 2023

Reimagine the development process with a platform engineering approach At its core, platform engineering is designed to eradicate these modernization side effects. Consider the developer platform a “product” But the real secret to successful platform engineering is treating that developer platform as a product.

IT 121

IT Cost-Benefit Software Digital Transformation 121

O'Reilly on Data

MARCH 31, 2020

We won’t go into the mathematics or engineering of modern machine learning here. We won’t go into the mathematics or engineering of modern machine learning here. If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML).

Management 332

Management Machine Learning Experimentation Metrics 332

datapine

MARCH 31, 2022

3) What Are the First Steps To Getting Started? So, what skills are needed for a business intelligence career? What does a profession in this field look like? And what other things do you need to consider to succeed in a BI-based role? Table of Contents. 1) Why Shift To A BI Career? 2) Top 10 Necessary BI Skills.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

O'Reilly on Data

AUGUST 9, 2022

What is the connection between expertise and ideation? And what kinds of user interfaces will be effective for collaborations between humans and computers, where the computers supply the technique and we supply the ideas? What kinds of creativity does that new technique enable? What would be necessary for another transformation?

Software 264

Software Testing Modeling IT 264

IBM Big Data Hub

APRIL 18, 2024

The complexity of applications is growing as well, so Site Reliability Engineers (SREs) require hours—and sometimes days—to identify and resolve problems. They recently turned on the probable root cause feature and configured a few application smart alerts.

Metrics 63

Metrics Statistics Dashboards Management 63

CIO Business Intelligence

SEPTEMBER 15, 2023

The company already has made several product enhancements, especially integrating new generative AI features into its Data Cloud. The new hires, according to Millham, will be divided between sales, engineering, and the team handling the development of its Data Cloud. The plan includes rehiring some of the former employees.

IT 132

IT Uncertainty Sales Data-driven 132

AWS Big Data

APRIL 30, 2024

This reduces the time and effort you need to learn, build, and run data integration jobs using AWS Glue data integration engines. Tell Amazon Q Developer what you need in English, it will return a complete job for you. For Engine , select Spark (Python). You will notice that the code is generated. The code is generated.

Data Integration 99

Data Integration Data Lake Data Warehouse Software 99

IBM Big Data Hub

JANUARY 16, 2024

To remain competitive in today’s relentlessly paced and ever-expanding marketplace, companies must think carefully about what products they’re developing and how they’re developing them, continuously iterating their processes to maintain a competitive edge. Why is a strong product development strategy important?

Strategy 81

Strategy Cost-Benefit Testing Manufacturing 81

CIO Business Intelligence

MARCH 6, 2024

No matter what type of work you do, here are three considerations around devices that can help you optimise your productivity. The key consideration for powerful performance is how the hardware is engineered. All these features help ensure you can be your most productive self, no matter where you’re conducting work.

Sales 95

Sales Visualization Optimization Data Analytics 95

IBM Big Data Hub

MAY 31, 2023

Register for the free, virtual event What is Presto? Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. What is PrestoCon Day? IBM has a significant history contributing to open-source capabilities.

Advertising 89

Advertising Optimization Data Analytics Reporting 89

CIO Business Intelligence

MARCH 7, 2024

As head of technology for the US division of RBC Wealth Management, Beltzer says one feature in particular, Prompt Builder, will enable more than 2,100 advisors in RBC US’s private client group to “request and retrieve the most compelling data on topics of interest to clients.” It is an operational platform.”

Enterprise 130

Enterprise Software Testing Interactive 130

Smart Data Collective

MARCH 19, 2023

What Are the Most Prominent AI Tools Affecting Digital Marketing in 2023? Search engine optimization: Semrush Search engine optimization (SEO) is still one of the top marketing tools in any successful digital marketing campaign. While AI is changing many industries, digital marketing is among those most affected.

Marketing 109

Marketing Optimization Data-driven Dashboards 109

CIO Business Intelligence

SEPTEMBER 29, 2023

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

CIO Business Intelligence

APRIL 25, 2024

With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it. Cloud cost management remains a critical CIO priority. Having the financial aspect under control is key,” he stresses.

Management 117

Management Optimization Strategy Enterprise 117

Cloudera

MARCH 5, 2024

Let’s dive deeper into three of the most impactful features included in this update. This approach brings new compute engines into the fold, adding Spark, Flink, Impala, and NiFi, enabling concurrent access and processing of datasets within Iceberg. Cloudera research projected that more than one third (36%) of organizations in the U.S.

Snapshot 87

Snapshot Data Lake Enterprise Data Governance 87

AWS Big Data

APRIL 2, 2024

In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability. We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock.

Metadata 85

Metadata Metrics Data-driven Modeling 85

CIO Business Intelligence

JANUARY 22, 2024

However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. But as we all know, what is below the surface and not visible is significantly larger and more important. Consider the iceberg analogy. Library of Congress.

Unstructured Data 92

Unstructured Data Digital Transformation Data Strategy Modeling 92

CIO Business Intelligence

APRIL 4, 2024

Host Keith Shaw asked nearly a year ago when technologists will achieve artificial general intelligence and what the implications could be. What’s amazing is how much has changed since the podcast. Today in Tech: Is the world moving closer to an AI singularity? Interested in even more data, analytics and AI coverage?

Data Analytics 106

Data Analytics Data Processing Analytics Enterprise 106

IBM Big Data Hub

APRIL 15, 2024

Technology and disruption are not new to manufacturers, but the primary problem is that what works well in theory often fails in practice. If the machine or equipment fails, the maintenance engineers can use gen AI to quickly diagnose problems based on the maintenance manual and an analysis of the process parameters.

Manufacturing 101

Manufacturing Contextual Data Knowledge Discovery Data Lake 101

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here. Easy job deployment.

Enterprise 126

Enterprise Visualization Testing Management 126

Jet Global

MARCH 22, 2024

With an ever-growing collection of capabilities, there are bound to be a few features that even the most expert Qlik users may not utilize. Qlik’s powerful associative analytics engine The first capability we’re exploring is Qlik’s powerful associative engine – technology that was truly a leap forward for in-memory business intelligence (BI).

KPI 52

KPI Reporting Visualization Digital Transformation 52

CIO Business Intelligence

DECEMBER 20, 2023

Gartner’s surveys and data from client inquiries confirm that developer productivity remains a top priority for software engineering leaders.” Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

Measurement 123

Measurement Software IT Metrics 123

CIO Business Intelligence

OCTOBER 16, 2023

Artificial intelligence has so dominated headlines and conversations that it seems like every company is announcing their own AI-related feature, solution, or initiative for their business. App accelerators can help enable summarization services via a chatbot to help teams understand what they need to build these solutions.

Software 129

Software Data-driven Modeling Machine Learning 129

AWS Big Data

NOVEMBER 29, 2023

In this post, we discuss how the Eightfold Talent Lake system team implemented the Amazon Redshift metadata security feature in their multi-tenant environment to enable access controls for the database catalog. This is a guest post co-written with Arun Sudhir from Eightfold AI. Securing customer data is a top priority for Eightfold.

Metadata 100

Metadata Data Warehouse Analytics Data Analytics 100

CIO Business Intelligence

FEBRUARY 5, 2024

What are the different kinds of technology that Mashreq has been investing in to upgrade its banking system and services in recent years? Our platforms like Neo and NeoBiz are designed to be quick to respond to what the market needs. Could you tell us what was the problem you needed to solve and why did you decide to work with Oracle?

IT 119

IT Digital Transformation Cost-Benefit Technology 119

CIO Business Intelligence

JUNE 7, 2022

An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. You don’t understand how long you should test your feature and what exactly you should measure,” he says. ML engineer. For all of this, you have to apply AI methods.”.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145