CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Data Engineering 327

Data Engineering Analytics Engineering Data 327

CIO

NOVEMBER 14, 2022

Analytics have evolved dramatically over the past several years as organizations strive to unleash the power of data to benefit the business. Break down internal data silos to create boundaryless innovation while enabling greater collaboration with partners outside of their own organization.

Analytics 274

Analytics Machine Learning Artificial Inteligence AWS 274

CIO

FEBRUARY 16, 2024

It’s all about the data In order to unleash the power of your data, it needs to be AI-ready. That means moving your data into a dynamic cloud environment as well as consolidating data from the multiple sources where it is kept around the business. Unleashing data with generative AI Fixing this problem is paramount.

Generative AI 305

Generative AI Banking Data Machine Learning 305

TechCrunch

MAY 2, 2022

But because they can provide access to sensitive functions and data, APIs are an increasingly common target for malicious hackers. “However, sophisticated API-directed cyberthreats and vulnerabilities to sensitive data have also rapidly increased. Businesses need machine learning here.

Artificial Inteligence 234

Artificial Inteligence Machine Learning Technical Cofounder Cloud 234

Hacker Earth Developers Blog

DECEMBER 26, 2018

Banks have always been custodian of customer data, but they lack the technological and analytical capability to derive value from the data. On the other hand, fintech companies have the analytical capabilities and, thanks to payments services directives, they now have access to valuable data.

Machine Learning 202

Machine Learning Artificial Inteligence Banking Analytics 202

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 130

Innovation Artificial Inteligence Data Serverless 130

CIO

JULY 13, 2020

But you can’t improve what you can’t measure – which is why analytics now envelops the entire enterprise, crunching every data set it can find to get a clear view of current reality and suggest a better road ahead.

Analytics 363

Analytics Business Intelligence Machine Learning Artificial Inteligence 363

CIO

MAY 14, 2024

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. Seattle, the county seat, reported nearly 600 drug overdose deaths in 2022, an increase of 72% from the previous year.

Artificial Inteligence 225

Artificial Inteligence Machine Learning Report Artificial Intelligence 225

Perficient

MARCH 5, 2024

Hey there, data enthusiasts! Today, we’re diving headfirst into the world of advanced reporting and analytics in Salesforce, with a special focus on leveraging Einstein Analytics to unlock the full potential of your data. Introducing Einstein Analytics So, what exactly is Einstein Analytics?

Analytics 59

Analytics Report Artificial Inteligence Artificial Intelligence 59

CIO

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise.

Data 355

Data Artificial Inteligence Architecture Analytics 355

CIO

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

TechCrunch

MAY 9, 2022

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215

Analytics Business Intelligence Software Review Business Analytics 215

CIO

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Explore ‘What-ifs’ Like Excel, Power BI offers slicers for comparing scenarios.

Artificial Inteligence 316

Artificial Inteligence Azure Machine Learning Metrics 316

CIO

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need.

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

CIO

AUGUST 25, 2023

That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.

IoT 246

IoT Analytics Artificial Inteligence Software Review 246

Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. Here, we will primarily focus on drawing insights from structured and unstructured (text) data.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Education Analytics 98

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 331

Data Database Administration Data Engineering Artificial Inteligence 331

CIO

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data 359

Data Machine Learning Artificial Inteligence Fractional CTO 359

CIO

FEBRUARY 5, 2024

A PwC report, for instance, found that 84% of CIOs expect to use genAI to support a new business model in 2024. Traditional Analytics: Organizations have been using analytical business intelligence (BI) for the last four decades, but the name shifted to analytics as the technology became more sophisticated and advanced.

Generative AI 357

Generative AI Artificial Inteligence Artificial Intelligence ChatGPT 357

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Artificial Inteligence 289

Artificial Inteligence Strategy Data Machine Learning 289

CIO

FEBRUARY 2, 2024

A PwC report, for instance, found that 84% of CIOs expect to use genAI to support a new business model in 2024. Traditional Analytics: Organizations have been using analytical business intelligence (BI) for the last four decades, but the name shifted to analytics as the technology became more sophisticated and advanced.

Generative AI 357

Generative AI Artificial Inteligence Artificial Intelligence ChatGPT 357

CIO

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Crop planning. Clinical DSS.

System 357

System Artificial Inteligence Data Analysis 357

Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. We’re pleased to make the report available to everyone, for free. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data.

Machine Learning 85

Machine Learning Artificial Inteligence Data Conference 85

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

CIO

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers.

Real Estate 246

Real Estate Data Generative AI Machine Learning 246

Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

Artificial Inteligence 140

Artificial Inteligence Machine Learning Banking Fintech 140

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Enter the data lakehouse. Lakehouses redeem the failures of some data lakes.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

TechCrunch

DECEMBER 13, 2022

Dataiku — which sells tools to help customers build, test and deploy AI and analytics applications — has managed to avoid major layoffs, unlike competitors such as DataRobot. A recent PitchBook report shows that d eal value growth in AI startups was down 27.8% ” The bump in the road comes as something of a surprise.

Analytics 191

Analytics Big Data Machine Learning Artificial Inteligence 191

CIO

SEPTEMBER 12, 2022

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’.

Data Engineering 290

Data Engineering Engineering Data Transportation 290

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 293

Artificial Inteligence Data Artificial Intelligence Analytics 293

Cloudera

SEPTEMBER 22, 2022

We’ve previously highlighted opportunities to improve digital claims processing with data and AI. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data.

Analytics 99

Analytics Data Insurance eBook 99

CIO

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Artificial Inteligence 325

Artificial Inteligence Data Games Analysis 325

TechBeacon

NOVEMBER 2, 2021

Despite widespread interest in machine learning (ML), relatively few projects leave the proof-of-concept phase and enter production.

Machine Learning 144

Machine Learning Artificial Inteligence Report Organization 144

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

Machine Learning 92

Machine Learning Artificial Inteligence Analytics Open Source 92

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 357

Government Data Technical Review Policies 357

CIO

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Trends 363

Trends Strategy Enterprise Artificial Inteligence 363

CIO

JUNE 26, 2023

Transitioning to automated, data-driven processes is the best way for these companies to not only cope with change but also take advantage of it. Consumer banks can use digital interactions to gather more customer data and apply real-time analytics to expand services and speed up processes.

Data 246

Data Banking Analytics Fintech 246