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 147

Innovation Artificial Inteligence Data Serverless 147

TechCrunch

AUGUST 16, 2022

There’s been an explosion of business intelligence (BI) tools in recent years, or tools that analyze and convert raw data into info for use in decision making. Investments in them are on the rise, but companies are still struggling to become “data-driven” — at least, according to some survey results.

Weak Development Team 244

Weak Development Team Cloud Analytics Business Intelligence 244

TechCrunch

AUGUST 2, 2022

One of the startup’s tools uses AI techniques to simulate an economy, testing out millions of product pricing configurations to arrive at an optimal model for a company. It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

Trigent

APRIL 23, 2021

Predictive analytics has found an important place in the insurance landscape for its ability to make data-based predictions. While predictive analytics helps the insurance industry gain great insights into customer activity and behavior, it also plays a massive role in preventing fraudulent claims and minimizing risks.

Analytics 86

Analytics Insurance Technical Review Media 86

CTOvision

APRIL 16, 2015

In response, XL produces increasingly complex analytics, and demand for analytical insights progressively permeates the organization. According to Kimberly Holmes, senior vice president of strategic analytics at the XL Group, “An increasing number of managers must take action based on analytical results. Related articles.

Analytics 97

Analytics Insurance Survey Analysis 97

TechCrunch

FEBRUARY 2, 2023

. “Data clean rooms” have been around for a while, pitched both by tech giants and startups as the ideal solution for sharing sensitive data across computing environments. million for its tech to help enterprises securely exchange and share big data troves. Just a few years ago, Harbr raised $38.5

Data 244

Data Company Fashion Healthcare 244

Trigent

NOVEMBER 3, 2022

The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. Data analytics is not new to us anymore. To understand how we must first look into the many areas of data analytics.

Analytics 52

Analytics Data IoT Trends 52

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

CTOvision

MAY 23, 2016

McKinsey and Company has defined big data as the $100 billion business. Big data is a term used to describe large volumes of data. The data can be structured or unstructured. This data is not basically what is important, what the organization use is what that matters.

Big Data 61

Big Data Company Data Media 61

TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense. Image Credits: Coalesce.

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

CTOvision

OCTOBER 12, 2015

Datameer kicked off their first Big Data & Brews on the East Coast at Strata + Hadoop World New York. Watch Part 1 of Big Data & Brews with Tony Baer here. Andrew: That’s sort of a prerequisite for Big Data and Brews. Real-time operational analytics. Related articles.

Big Data 115

Big Data Data Linux Government 115

Invid Group

MARCH 5, 2019

How to predict consumer behavior with Big Data and AI. How to predict consumer behavior with Big Data and AI. Now that more than enough data has been collected from these sources, there arises the need to make use of it, for instance, to predict consumer behavior days and even months from now. What is Big Data?

Big Data 40

Big Data Artificial Inteligence Data How To 40

CIO

AUGUST 29, 2022

In a recent survey of 1,500 global executives, about three in four executives (78%) cite technology as critical for their future sustainability efforts, attesting that it helps transform operations, socialize their initiatives more broadly, and measure and report on the impact of their efforts.

Sustainability 190

Sustainability Enterprise Artificial Inteligence Google Cloud 190

CIO

MAY 16, 2023

adult web users surveyed have used one or more generative AI tools. With media outlets racing to get exclusives out the door on the latest “big thing,” sifting through the excitement to find the bigger picture is challenging. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

Innovation 212

Innovation Blockchain Artificial Intelligence Artificial Inteligence 212

Trigent

APRIL 27, 2022

Hartford HealthCare, a comprehensive and integrated healthcare system serving more than 17,000 people daily across its 400 locations, recently announced its decision to launch a novel research initiative with Ibex Medical Analytics. It paves the path for analytics.

Healthcare 52

Healthcare Analytics Artificial Inteligence Artificial Intelligence 52

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 273

Artificial Inteligence Strategy Data Machine Learning 273

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O by 0xdata brings better algorithms to big data. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

JULY 23, 2020

Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. The same survey shows that putting a model from a research environment to production — where it eventually starts adding business value — takes between 8 to 90 days on average. This article. And here are the main reasons why.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

SEPTEMBER 18, 2023

According to the 2023 State of the CIO , IT leaders are looking to shore up competencies in key areas such as cybersecurity (39%), application development (30%), data science/analytics (30%), and AI/machine learning (26%). We can create the environment and provide access to the tools, but it comes down to the person.”

Technical Review 330

Technical Review Pharmaceuticals Security Training 330

TechCrunch

SEPTEMBER 6, 2022

Deb previously co-founded EmPower, a firm that provided tools for social media research and media monitoring, while Malhotra started his own company, Social Lair, to build social media capabilities for large enterprises. As for Mukherjee, he left Oracle to launch Udichi, a compute platform for “big data” analysis.

Company 227

Company Retail Systems Review Media 227

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. For Cloudera this is a back to the future moment.

Data 108

Data Architecture Analytics Government 108

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.

Data 87

Data Data Engineering Big Data Architecture 87

CIO

SEPTEMBER 2, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Ensure your data scientists, or data science teams, aren’t working on an island by themselves.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Ensure your data scientists, or data science teams, aren’t working on an island by themselves.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CTOvision

JUNE 3, 2014

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. By Bob Gourley.

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

CTOvision

SEPTEMBER 28, 2014

We also use this list for periodic surveys and conference announcements. The Weekly Government Big Data Newsletter is a weekly review of hot topics on the theme of Big Data. The Weekly Analytical Report is a review of use cases, tips, techniques and tools associated with analysis.

Technical Review 108

Technical Review Report Trends Big Data 108

Hacker Earth Developers Blog

APRIL 17, 2023

This would involve acquiring a completely new set of skills and knowledge, such as understanding different types of cyber threats, security protocols and measures, and the tools and technologies used to mitigate these risks. While many organizations have learning programs, they struggle to measure the ROI from such programs.

Technical Review 130

Technical Review Artificial Inteligence Training eLearning 130

Coforge

AUGUST 20, 2018

Predictive Analytics for Business Growth. Deloitte reported that “Big data and advanced analytics are on the cusp of transforming the wealth management industry, with new ways to engage with new clients, manage client relationships and manage risks.” Improve Q&A capabilities and person-to-machine advice channels.

Analytics 40

Analytics Resources Artificial Intelligence Artificial Inteligence 40

O'Reilly Media - Data

MARCH 7, 2018

Experts from across the data world came together in San Jose, California for the Strata Data Conference. Hilary Mason looks at practical applications for intelligent machines and outlines the tools and processes needed to implement machine learning successfully. Lessons in Google search data.

Conference 110

Conference Machine Learning Artificial Inteligence Data 110

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Trigent

MARCH 24, 2021

A global survey of CIOs iterates why AIOps is so critical for IT enterprises. The survey pointed out that despite investing in 10 different monitoring tools on average, IT teams had full observability into just 11% of the environments. Those who needed those tools didn’t have access to them. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 52

Trigent

MARCH 24, 2021

A global survey of CIOs iterates why AIOps is so critical for IT enterprises. The survey pointed out that despite investing in 10 different monitoring tools on average, IT teams had full observability into just 11% of the environments. Those who needed those tools didn’t have access to them. What is AIOps?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 52

Cloudera

APRIL 7, 2021

A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” Data — Too much and Too little. In order to get from here to there, insurance companies need to focus on data management.

Insurance 57

Insurance Analytics Exercises IoT 57

Openxcell

NOVEMBER 27, 2023

In a survey by Statista, the market size of mobile healthcare or mHealth applications is estimated to be worth 257 billion dollars by 2025. Be it digital therapy tools or chatbots to handle emergencies, AI is slowly facilitating healthcare for everyone. AR/VR Another marked trend in healthcare mobile applications is AR and VR.

Development 52

Development Healthcare Artificial Inteligence VR 52

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. It also often includes analytics, reporting, and forecasting capabilities. Often, such an ecosystem is built on top of the ERP or SCM.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86