CIO

JANUARY 22, 2025

Nearly all tech surprises last year were related to gen AI, which was so hyped in 2023 that every organization had to try it in one or more projects in 2024. IT departments ran proofs-of-concept (PoCs), but some business leaders outside IT with P&L to manage also ran their own experiments without necessarily informing IT when they did so.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

TechCrunch

JANUARY 26, 2022

It plans to use the money to continue investing in its technology stack, to step up with more business development, and to hire more talent for its team, to meet what it believes are changing tides in the world of data warehousing.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics. The benefits of data science.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

TechCrunch

SEPTEMBER 29, 2022

Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.)

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

TechCrunch

SEPTEMBER 15, 2021

Businesses and the tech companies that serve them are run on data. At best, it can be used to help with decision-making, to understand how well or badly an organization is doing and to build new systems to run the next generation of services.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

TechCrunch

MAY 26, 2022

Over the last decade, the rate at which organizations create data has accelerated as it becomes cheaper to store, access, and process data. But as data continues to grow in scale and complexity, it’s becoming scattered across apps and platforms — often leading to problems where it concerns data quality.

Data 228

Data Weak Development Team Enterprise Analysis 228

TechCrunch

SEPTEMBER 1, 2022

Falkon , a sales analytics platform that uses AI to attempt to show where successful product sales are occuring in an organization, today announced that it raised $16 million in a funding round led by OMERS Ventures with participation from Greylock Partners, Trilogy Financial, Flying Fish Partners and Madera Partners.

Weak Development Team 223

Weak Development Team Marketing Analytics Business Intelligence 223

CIO

JUNE 7, 2022

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. In business analytics, this is the purview of business intelligence (BI).

Analytics 203

Analytics Data Analysis Business Analytics 203

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

TechCrunch

NOVEMBER 10, 2020

Explo , a member of the Y Combinator Winter 2020 class, which is helping customers build customer-facing business intelligence dashboards, announced a $2.3 million seed round today. Investors included Amplo VC, Soma Capital and Y Combinator along with several individual investors.

CTO Coach 196

CTO Coach Business Intelligence Travel Data Engineering 196

TechCrunch

JUNE 17, 2021

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data. But it’s only those companies that can devote teams of eight or 10, engineers, designers who can build those things in house. Transform is filling a critical gap within the industry.

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Metrics Tools Data Big Data 247

Altexsoft

FEBRUARY 8, 2021

Managing a supply chain involves organizing and controlling numerous processes. diversity of sales channels, complex structure resulting in siloed data and lack of visibility. diversity of sales channels, complex structure resulting in siloed data and lack of visibility. Monitoring production performance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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. Enter the data lakehouse.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

JUNE 13, 2024

What is a data analyst? Data analysts work with data to help their organizations make better business decisions. Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, data analysts draw conclusions from data to describe, predict, and improve business performance.

Data 148

Data Analytics Transportation Business Intelligence 148

Hacker Earth Developers Blog

JUNE 26, 2019

Know what your organization wishes to achieve with data science. It is imperative for your organization to set the right expectations for the data science platform and your hiring needs to align with it. You could have a bunch of data and very little idea on what to do with it. Assess your next Data Scientist.

Data 200

Data How To Artificial Inteligence Machine Learning 200

Apiumhub

DECEMBER 9, 2024

By integrating Azure Key Vault Secrets with Azure Synapse Analytics, organizations can securely access external data sources and manage credentials centrally. This centralized approach simplifies secret management across the organization. Resource Group : Its recommended to organize your Azure resources within a resource group.

Azure 91

Azure Analytics Storage Artificial Inteligence 91

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

CIO

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. “We Users have freedom to slice and dice the data without technical know-how,” he says.

Analytics 205

Analytics Metrics Government Business Intelligence 205

CIO

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Data scientist education and training.

Analytics 205

Analytics Data Technical Review Analysis 205

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. And that’s just the beginning.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

O'Reilly Media - Ideas

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Data scientists and data engineers are in demand.

Sustainability 108

Sustainability Company Artificial Inteligence Machine Learning 108

CIO

JANUARY 10, 2023

Here we look at five hiring trends for 2023, five that are falling out of favor, and how organizations are adjusting to new hiring realities this year. And again, the solution for organizations is a focus on the ability to adapt. “By Many IT leaders are beginning to rethink how they hire for these difficult-to-fill roles.

Trends 197

Trends Recruiting Culture Quality Assurance 197

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

Data 112

Data Weak Development Team Data Engineering Enterprise 112

CTOvision

AUGUST 1, 2015

“We are thrilled to be supporting such a disruptive business for enterprise cloud usage,” said T. Intelligence community contractors, Immuta’s primary focus is to build a common “distributed data framework” that has the highest level of security for highly-sensitive data processing. Richard Stroupe, Jr.

Big Data 114

Big Data System Data Software Engineering 114

CIO

FEBRUARY 13, 2023

Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group. This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%).

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Mentormate

NOVEMBER 29, 2022

Increasingly, many of our clients ask us how they can make their organization data-driven. Why do they want to implement data solutions into their business in the first place? Simply put, actionable insights are the result of being a data-driven organization. What are Actionable Insights? Final Thoughts.

Analytics 98

Analytics Analysis Business Intelligence Data 98

Apiumhub

APRIL 8, 2021

Borba has been named a top Big Data and data science influencer and expert several times. He has also been named a top influencer in machine learning, artificial intelligence (AI), business intelligence (BI), and digital transformation. Jen Stirrup is a top influencer in Big Data and Business Intelligence.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types. What is data pipeline. But data is still organized around factual tables.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. At Strata Data San Francisco, Netflix , Intuit , and Lyft will describe internal systems designed to help users understand the evolution of available data resources.

Big Data 108

Big Data Technology Tools Cloud 108

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 88

Data Analytics Artificial Inteligence Machine Learning 88

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

JUNE 6, 2023

The shortage of data science skills continues to frustrate organizations in their quest to become more data driven. CIO.com’s 2023 State of the CIO research found that data science/analytics is one of the top three tech-related skills CIOs are trying to hire – and 22% said it’s one of the three most difficult to fill.

Data 78

Data Analytics Government Culture 78

Altexsoft

DECEMBER 9, 2020

Some famous ones are: Gartner ’s Maturity Model for Data and Analytics, DELTA Plus by Tom Davenport, DAMM – Data Analytics Maturity Model for Associations, SAS Analytic Maturity Scorecard, and many more. Hard to believe, but even now there are businesses that do not use technology and manage their operations with pen-and-paper.

Analytics 102

Analytics Technical Review Technology Applications 102

John Snow Labs

FEBRUARY 12, 2025

This combination allows businesses to process vast amounts of text data quickly and efficiently, unlocking advanced insights through tasks like named entity recognition, text summarization, question answering, and document classification. See here for benchmarks and responsibly developed AI practices.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52

Hacker Earth Developers Blog

JUNE 26, 2019

Know what your organization wishes to achieve with data science. It is imperative for your organization to set the right expectations for the data science platform and your hiring needs to align with it. You could have a bunch of data and very little idea on what to do with it. Assess your next Data Scientist.

Data 100

Data How To Artificial Inteligence Machine Learning 100

Cloudera

NOVEMBER 19, 2020

The Association of Certified Fraud Examiners reports the use of artificial intelligence and machine learning in anti-fraud programs is expected to almost triple in the next two years. Here, Cloudera Data Flow is leveraged to build a streaming pipeline which enables the collection, movement, curation, and augmentation of raw data feeds.

Government 119

Government Artificial Inteligence Data Machine Learning 119

ParkMyCloud

MAY 29, 2019

Anecdotally, many organizations we talk to share that getting and keeping talent on board is a challenge as they seek to evolve their use of cloud services. The cloud jobs that are available in the market today are a result of employer demand to drive innovation and are paramount for new business applications and services to the end-user.

Trends 72

Trends Cloud IoT Artificial Inteligence 72