CIO

DECEMBER 13, 2022

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. business, IT, data management, security, risk and compliance etc.) Arguing with data?

Analytics 158

Analytics Strategy Data Metrics 158

CIO

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

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. ” Dataiku, which launched in Paris in 2013, competes with a number of companies for dominance in the AI and big data analytics space.

Analytics 191

Analytics Big Data Artificial Inteligence Machine Learning 191

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 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

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. Data engineer job description.

Data Engineering 197

Data Engineering Analytics Engineering Data 197

CIO

SEPTEMBER 14, 2023

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 that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data 88

Data Authentication Compliance Artificial Intelligence 88

N2Growth Blog

DECEMBER 4, 2024

Collaborating closely with the Chief Executive Officer, the operations leader executes the organization’s strategy, makes pivotal decisions, and drives performance across all departments. A data-driven approach is essential, enabling leaders to understand current performance metrics and pinpoint areas for development.

Development Team Review 141

Development Team Review Systems Review Culture Technical Review 141

The Crazy Programmer

NOVEMBER 6, 2021

Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. A cloud architect is an IT professional who is responsible for implementing cloud computing strategies.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Perficient

OCTOBER 9, 2024

Recently, the news broke that Optimizely acquired Netspring, a warehouse-native analytics platform. Simplifying Omnichannel Analytics for Real Digital Impact Netspring is not just another analytics platform. It is focused on making warehouse-native analytics accessible to organizations of all sizes.

Analytics 97

Analytics Artificial Intelligence Artificial Inteligence Big Data 97

TechCrunch

MARCH 11, 2021

Farming carbon” will drive demand for regenerative finance mechanisms, data analytics tools, and new technology like nitrogen-fixing biologicals – all imperatives to maximize the adoption and impact of regenerative practices and spur innovation and entrepreneurship. Now, it’s agriculture’s turn.

Transportation 346

Transportation Energy Innovation Big Data 346

Perficient

AUGUST 19, 2024

Traditional risk managers, by their job definition, are highly cautious of the result sets provided by the analytics teams. Based on my experience, here are the common issues that are faced by banks running a risk of not having a good risk data strategy.

Strategy 109

Strategy Data Banking Systems Review 109

Hacker Earth Developers Blog

DECEMBER 24, 2024

In that case, it is essential that the traditional recruitment method is replaced by a modern and efficient process that incorporates the use of technology in the process, keeps candidates engaged, and adopts modern recruitment strategies. Explore practical skills assessment strategies in Tech Recruiting Strategies to Build Winning Teams.

Recruiting 130

Recruiting Strategy Case Study Study 130

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.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Dr. Kirk Borne, a data scientist and astrophysicist, is one of the leading influencers in the Big Data/Data Science/AI space.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Dr. Kirk Borne, a data scientist and astrophysicist, is one of the leading influencers in the Big Data/Data Science/AI space.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

CIO

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. report they have established a data culture 26.5%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

TechCrunch

AUGUST 2, 2022

The two were inspired to build a platform that could, leveraging predictive algorithms, help businesses formulate strategies to navigate “uncertain” environments — like a global pandemic. It’ll certainly need a substantial war chest to compete in the growing market for data analytics products.

Analytics 207

Analytics Big Data Enterprise Automotive 207

TechCrunch

SEPTEMBER 27, 2021

” With AI use cases being a central part of Intel’s next-generation growth strategy, these will be essential for building AI-based systems based on Intel’s processors, he said, adding that Aries Smart Retimers for PCIe are also featured in multiple reference designs and commercial platforms from Intel.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

Security 218

Security Innovation Artificial Inteligence Weak Development Team 218

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

CIO

NOVEMBER 11, 2024

From intelligent automation and AI-powered security to big data analytics and the convergence of AI with transformative technologies like 5G, cloud, and IoT, AI is driving a profound shift in how businesses operate and innovate. “We

Artificial Intelligence 78

Artificial Intelligence IoT Artificial Inteligence Generative AI 78

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

DECEMBER 30, 2024

MENA Digital Transformation Summit 2025 (Abu Dhabi) | April 14-16, 2025 The MENA Digital Transformation Summit will gather leaders from across the region to discuss the latest digital innovations and strategies for accelerating digital transformation.

Artificial Inteligence 88

Artificial Inteligence Blockchain Artificial Intelligence Healthcare 88

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science.

Data 167

Data Big Data Systems Review Technical Review 167

OTS Solutions

NOVEMBER 26, 2023

Furthermore, multi-cloud architecture enables seamless data management and integration, ensuring uninterrupted operations and enhancing the overall agility and competitiveness of businesses in today’s dynamic and fast-paced digital landscape. It is essential to assess the specific needs and goals of the organization.

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

TechCrunch

NOVEMBER 14, 2021

Joe Hellerstein is co-founder and chief strategy officer of Trifacta and the Jim Gray Chair of Computer Science at UC Berkeley. In February 2010, The Economist published a report called “ Data, data everywhere.” Little did we know then just how simple the data landscape actually was. Joe Hellerstein. Contributor.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

CIO

MAY 7, 2024

The achievement is testament to ADNOC’s longstanding strategy to develop and deploy pioneering technologies such as AI, robotic automation, and advanced data analytics.

Energy 148

Energy Artificial Intelligence Artificial Inteligence Big Data 148

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. Analytical Velocity: CDP offers experiences that can meet different analytical velocity requirements e.g., batch or real-time analytics. Introduction.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 111

Analytics Open Source Government Artificial Inteligence 111

Perficient

NOVEMBER 17, 2024

Key features of the data fabric include: Data Cataloging Centralized metadata management and lineage. Semantic Modeling Retaining relationships, hierarchies, and KPIs for analytics. Federation and Replication Choose between connecting or replicating data. What is Databricks?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

TechCrunch

JUNE 17, 2021

The big breakthrough that Transform has made is that it’s built a metrics engine that a company can apply to its structured data — a tool similar to what Big Tech companies have built for their own use, but that hasn’t really been created (at least until now) for others who are not those Big Tech companies to use, too.

Metrics 247

Metrics Tools Data Big Data 247

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Enter the data lakehouse.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210