Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. High data volumes. Artificial intelligence and machine learning.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data 92

Data Analytics Open Source Architecture 92

Datavail

SEPTEMBER 2, 2021

You’ll need to determine how to structure the data to answer those types of questions. The questions you’ll need to answer will depend on where your organization is in terms of Business Intelligence (BI) maturity. In the later stages, you’ll need to leverage artificial intelligence, machine learning, and more.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

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

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

SEPTEMBER 6, 2018

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. Our clients considered working with large datasets a big data problem. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

Big Data 73

Big Data CTO Coach Conference Media 73

N2Growth Blog

JANUARY 23, 2018

Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. But not every business knows how to convert that data into actionable insights.

Innovation 84

Innovation Strategy Big Data Advertising 84

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Migration of historical data from EDW Platform.

Data 82

Data Analytics Cloud Technical Review 82

Data Virtualization

JULY 7, 2022

Organizations that leverage data and information to create dynamic, productive experiences and superior services will be the winning companies of this age.” ” Javier García General Manager W&A Data.

Data 64

Data Virtualization Analysis Organization 64

Data Virtualization

JULY 7, 2022

Organizations that leverage data and information to create dynamic, productive experiences and superior services will be the winning companies of this age.” ” Javier García General Manager W&A.

Data 52

Data Virtualization Analysis Organization 52

Datavail

MARCH 24, 2020

This may include data records, storage systems, integration platforms, business intelligence and analytics platforms, OLTP and OLAP databases, cloud services, and tools for AI and machine learning. Technology: The technological assets and knowledge at your disposal.

Strategy 40

Strategy Data Policies Storage 40

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. Microsoft learning.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

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. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Cloudera

JULY 9, 2018

It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. The New Iron Triangle.

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

RapidValue

DECEMBER 7, 2020

OAC offers analytics and reporting, data visualizations, data modeling, self-service analytics, big data analytics, machine learning, and predictive analytics under a single license. Click here to learn more about our award-winning Oracle Digital Suite, eQuipMe. By, Dipin Manmadhan.

Business Intelligence 72

Business Intelligence Analytics Cloud How To 72

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Fraudulent Activity Detection.

Government 117

Government Artificial Inteligence Machine Learning Data 117

Dion Hinchcliffe's Web 2.0 Blog

JANUARY 11, 2012

Capabilities like social business intelligence , enabled by the rise of both older and radically advanced new technologies now known as Big Data , are making it possible for us to actually make sense of the huge knowledge flows moving around us. I’ll be covering them in my blogs and on Twitter as much as possible.

Social 61

Social Conference Media Enterprise 61

Datavail

AUGUST 6, 2019

The future growth of deep learning holds many exciting possibilities for businesses. Deep learning is a type of machine learning where artificial neural networks mimic the structure and learning processes of the human brain. Another challenge is the high demand for machine learning expertise.

Machine Learning 20

Machine Learning Artificial Inteligence Weak Development Team Open Source 20

O'Reilly Media - Data

MAY 3, 2018

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. Apple described their system in a detailed blog post : Our system is designed to be opt-in and transparent.

Analytics 125

Analytics Artificial Inteligence Data Machine Learning 125

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. What is DataOps: brief introduction. DataOps vs MLOps.

Analytics 75

Analytics DevOps Development Software Review 75

Kaseya

NOVEMBER 9, 2023

Its proliferation across businesses is a testament to its undeniable advantages, offering a dynamic ecosystem wherein organizations can seamlessly scale and streamline operations, foster innovation and adapt swiftly to ever-evolving market demands.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Altexsoft

MAY 20, 2020

Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few. Source: Cisco Blogs. It easily integrates with.

IoT 141

IoT Azure AWS Transportation 141

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 94

Data Analytics Storage Big Data 94

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. It then deploys machine learning algorithms to better predict customer needs. Top business blogs to read. InsurTech startups to keep an eye on in 2018. Digital Fineprint. Digital Risks.

Insurance 95

Insurance Technical Review Artificial Inteligence Policies 95

Cloudera

MAY 16, 2018

Native visual analytics provides the subject matter experts with a direct and intuitive interface into the data that enables them to investigate in a timely, secure, and collaborative way. Arcadia Data partners with Cloudera to realize their shared vision of enabling subject matter experts to gain business insight from modern data platforms.

Analytics 42

Analytics Groups Enterprise Data 42

Apiumhub

APRIL 8, 2021

The people listed promote learning and the sharing of knowledge by sharing their insights through LinkedIn, Twitter, blog posts, podcasts, books, workshops, etc. Top Data Science experts you should know about. As the director of Advertisement, he works to help data-driven businesses be more successful. Kirk Borne.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

Sunflower Lab

APRIL 2, 2024

This isn’t just a blog post; it’s a detailed guide that CEOs, Business Analysts, and Data Scientists need to weave predictive analytics seamlessly into the DNA of their organizations using Power BI. Explore our Power BI solutions How Can Power BI Be Used for Predictive Analytics?

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Excellent performance speed with super-fast data refreshes.

Analytics 87

Analytics Tools Data Artificial Inteligence 87