Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

Data 105

Data Machine Learning Artificial Inteligence Automotive 105

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

Sunflower Lab

APRIL 2, 2024

Power BI, a key business analytics service, leads a revolution in how companies use AI and machine learning to future-proof their operations. To stay competitive, industrial leaders need to make informed decisions based on a deep understanding of their data. This is where Power BI comes in. What makes it special?

Artificial Inteligence 40

Artificial Inteligence Machine Learning Company Generative AI 40

CIO

OCTOBER 6, 2022

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. We’re seeing HPC-enabled AI on the rise because it extracts and refines data quicker and more accurately.

Artificial Inteligence 237

Artificial Inteligence Industry Artificial Intelligence Innovation 237

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

CTOvision

JUNE 17, 2014

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Big Data and Analytics: 74,350 (100%).

Big Data 103

Big Data Analytics Groups Data 103

The Agile Monkey

MARCH 14, 2023

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? And the key differentiation factor is going to be the amount and quality of their data.

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

Apiumhub

APRIL 6, 2021

There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

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.

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Data 65

Data Machine Learning Artificial Inteligence Analytics 65

The Accidental Successful CIO

MAY 12, 2021

Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions. Understanding Business Intelligence vs. Business Analytics.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Analytics 83

Analytics Machine Learning Artificial Inteligence Telecommunications 83

Cloudera

NOVEMBER 16, 2020

Use the Data Available. This requires a lot of data, a variety of data, and advanced analytic capabilities. Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications.

Insurance 96

Insurance Data Machine Learning Artificial Inteligence 96

Apiumhub

APRIL 1, 2021

Data Science is one of the highest-paid and most popular fields nowadays. And there is nothing better than reading data science books to get the ball rolling. Top Data science books you should definitely read. Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

TechCrunch

AUGUST 2, 2022

“Each of these approaches has merit, but they are a far cry from the full promise of AI: truly intelligent machines that operate autonomously, on our behalf, to elevate human potential.” Arena augments that data with context from what Ranade calls the “demand graph,” which provides broader, real-time market signals.

Analytics 207

Analytics Big Data Automotive Enterprise 207

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Data 68

Data Analytics Banking Machine Learning 68

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. .

Insurance 105

Insurance Trends Data Artificial Inteligence 105

Altexsoft

SEPTEMBER 6, 2018

Data science and artificial intelligence are hot media topics. An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. For instance, we had such a case in our work.

Company 63

Company Off-The-Shelf Data Software Review 63

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

CTOvision

JUNE 10, 2014

It examines one of the hottest of Machine Learning techniques, Deep Learning, and provides a list of free resources for leanring and using Deep Learning-bg. Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5%

Course 103

Course Artificial Inteligence Machine Learning Artificial Intelligence 103

Sunflower Lab

JULY 5, 2023

.” – Saul Berman In this fast-paced digital world, more and more businesses are turning towards Intelligent Process Automation to complete different business operations. This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Data 71

Data Agile Banking Machine Learning 71

Cloudera

JANUARY 13, 2021

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Banking 56

Banking Artificial Inteligence Data Artificial Intelligence 56

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 Intelligence 357

Business Intelligence Data Business Analytics Analytics 357

Existek

NOVEMBER 21, 2023

Let’s check this article focusing on AI analytics and how to leverage it to your advantage. List of the Content What is AI analytics? Difference between AI and traditional analytics How to use AI in data analytics? With the growing volume of data, the popularity of AI analytics has also been propelled.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 64

Course Training Artificial Inteligence Software Review 64

Hu's Place - HitachiVantara

JUNE 12, 2018

CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”

Business Analytics 40

Business Analytics Analytics Big Data IoT 40

Strategy Driven

MARCH 19, 2024

Trends like augmented reality for hair and makeup trials, AI-powered customer service bots, and machine learning for business analytics are just on the horizon. Sophisticated algorithms can analyze sales data to suggest strategic upselling and cross-selling opportunities to clients based on their historical preferences.

Software Review 36

Software Review Software Technical Review Systems Review 36

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 49

Course Training Artificial Inteligence Software Review 49

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

O'Reilly Media - Ideas

JANUARY 5, 2021

AI, ML, and Data. Integration between Python and Tableau : Tableau has proven itself as a platform for data visualization and business analytics. Python is well-established as a language for data analysis and machine learning. Some of these are political posturing; others address real issues.

Trends 99

Trends Artificial Inteligence Linux Systems Review 99

Cloudera

FEBRUARY 24, 2021

Everything needs to be reimagined: talent retention, data privacy, social equity, the customer and employee experience, and more. 2021 is going to be the year when the financial services industry reckons with how these changes will play out, impacting business operations, processes, new technologies, and, of course, new regulations.

Artificial Inteligence 58

Artificial Inteligence Trends Industry Artificial Intelligence 58

Newgen Software

JANUARY 2, 2024

From entering orders to documenting account reconciliations to extracting and processing content from multiple data formats, to creating purchase requisitions, to onboarding new employees, to managing customer service requests, RPA software takes the charge of the back office and front office processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Data 100 days old might as well be 100 years old.

Agile 90

Agile Retail Analytics Enterprise 90