CIO

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 218

Analytics Artificial Inteligence Machine Learning Systems Review 218

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

MARCH 4, 2021

Business intelligence (BI) platforms are evolving. By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms.

Artificial Inteligence 148

Artificial Inteligence Artificial Intelligence Machine Learning Business Analytics 148

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.

Artificial Inteligence 113

Artificial Inteligence Machine Learning Big Data Data 113

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 108

Data Artificial Inteligence Machine Learning Automotive 108

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 Artificial Inteligence Machine Learning Weak Development Team 90

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 Big Data 103

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Data 123

Data Analytics Banking Big Data 123

AWS Machine Learning - AI

APRIL 9, 2025

Amazon Q Business is a fully managed, generative AI-powered assistant that lets you build interactive chat applications using your enterprise data, generating answers based on your data or large language model (LLM) knowledge.

Weak Development Team 77

Weak Development Team Metrics AWS Systems Review 77

Apiumhub

MARCH 18, 2021

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. Business analytics is simply about using data to generate insights.”.

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Datavail

MARCH 3, 2022

For eons, humans have gathered data to help them make sense of the world. That quest for information has evolved from studying the patterns of star systems to studying patterns found in the vast quantities of immense data lakes. The tools used to gather and investigate data have evolved, too.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence 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 Enterprise Automotive 207

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

AWS Machine Learning - AI

JUNE 26, 2024

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining.

Artificial Inteligence 128

Artificial Inteligence Research Knowledge Base Applications 128

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 148

Artificial Inteligence Industry Innovation Artificial Intelligence 148

Datavail

MARCH 31, 2022

Organizations are now devising digital analytics algorithms to inform their future strategies as well as keep them apprised of day-to-day activities. Those that also apply directives from their data to operationalize their systems will be at the forefront of their industry. Analytics as a Strategy Tool.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

AWS Machine Learning - AI

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. The analysis was conducted for queries based on both unstructured (regulatory documents and product specs sheets) and structured (product catalog) data.

Artificial Inteligence 118

Artificial Inteligence Generative AI Energy Knowledge Base 118

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 101

Insurance Data Artificial Inteligence Machine Learning 101

Cloudera

JANUARY 24, 2023

UBL needed a superior data platform to handle the increasing volume and improve the business With UBL’s growing success, the bank needed to accommodate its growing volume of data. To this end, UBL embarked on a data analytics project that would achieve its goals for an improved data environment.

Banking 80

Banking Analytics Data Leadership 80

Altexsoft

FEBRUARY 3, 2020

The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

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

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

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 93

Course Training Artificial Inteligence Software Review 93

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

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders.

Data 82

Data Analytics Government Technical Review 82

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Confluent

JULY 3, 2019

From a data perspective, the World Cup represents an interesting source of information. Data sources. The beginning of our journey starts with connecting to various data sources. Ingesting Twitter data. Ingesting Twitter data is very easy with Kafka Connect , a framework for connecting Kafka with external systems.

Analysis 21

Analysis Data Sport Windows 21

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 70

Data Artificial Inteligence Machine Learning Analytics 70

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

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data 97

Data Analytics Storage Big Data 97

CIO

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies. The small business budget has tripled from 2020 from $5.5

Innovation 147

Innovation Technical Review Disaster Recovery Budget 147

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.

Artificial Inteligence 84

Artificial Inteligence Machine Learning Enterprise Telecommunications 84

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 74

Data Analytics Banking Artificial Inteligence 74

AWS Machine Learning - AI

JULY 10, 2024

Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic Claude to understand and generate human-like text. The fine-tuning as a deep level of customization represents a key differentiating factor by using your own unique data.

Artificial Inteligence 130

Artificial Inteligence Airlines Training Generative AI 130

AWS Machine Learning - AI

AUGUST 2, 2024

On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data. Use clear and concise language to explain financial performance and business developments. Amazon Earnings call transcript for Q1 2021.

Artificial Inteligence 129

Artificial Inteligence Engineering Generative AI Comparison 129

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 124

Trends Linux Artificial Inteligence Systems Review 124