CTOvision

APRIL 6, 2015

New in the CTOvision Research Library: We have just posted an overview of an architectural assessment we produced laying out best practices and design patterns for the use of SAS and Apache Hadoop, with a focus on the government sector. Here is more: Enterprises in government are awash in more data than they can make sense of.

Government 113

Government Business Analytics Big Data Architecture 113

CTOvision

DECEMBER 10, 2013

By Bob Gourley If you were not able to watch our webinar on best practices for government big data solutions please review the on demand recording at this link: [link]. The webinar reviews best practices in big data solutions based on surveys and research done here at CTOvision.com.

Business Analytics 102

Business Analytics Big Data Analytics Survey 102

CTOvision

JUNE 27, 2014

Many people have read the McKinsey report on Big Data (May 2011) which predicted . The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.

Data 110

Data Business Analytics Big Data Analytics 110

CTOvision

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

TechCrunch

AUGUST 2, 2022

It brings to mind the AI Economist , a Salesforce-developed research environment that similarly runs millions of simulations to come up with plausible fiscal policy. 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.

Analytics 207

Analytics Big Data Enterprise Automotive 207

CTOvision

JUNE 3, 2014

Using Weka with PDI , we are now helping clients blend a 360-degree view of all equipment data sources to enable early prediction of potential machinery failure. Pentaho Data Integration with R has allowed Paytronix to deliver analytics and insights to our clients much faster. Weka goes BIG (pentaho.com).

Machine Learning 113

Machine Learning Artificial Inteligence Big Data Data 113

CTOvision

SEPTEMBER 17, 2014

Paying close attention to awards for mission-focused big data solutions is a great way to learn what works in the real world. Pentaho provides a comprehensive platform for data integration and business analytics and the solutions this platform enables are making huge differences in the community. By Bob Gourley.

Big Data 101

Big Data Wireless Technical Review Business Analytics 101

CTOvision

JUNE 10, 2014

Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5% Theano + Pylearn2 , which has the advantage of using Python (widely used), and the disadvantage of using Python (slow for big data). is a well-known expert in Business Analytics, Data Mining, and Data Science.

Course 103

Course Artificial Inteligence Machine Learning Big Data 103

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

CTOvision

APRIL 16, 2015

Our research — based on a survey of 2,719 managers in organizations from around the word — finds that the foremost barriers to creating business value from analytics are not data management or complex modeling skills. See “About the Research.”) The research was sponsored by SAS. XL is far from alone.

Analytics 97

Analytics Insurance Survey Analysis 97

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Infinidat

MARCH 10, 2021

Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. 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.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

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. This is great for analysts!

Technical Review 99

Technical Review Analytics Technology Big Data 99

CTOvision

OCTOBER 22, 2014

NYSE: IT) is the world’s leading information technology research and advisory company. During our research, we discovered a way to transmit … Read more on The Guardian. Pentaho, Cloudera Executives See Bigger Data Opportunities. Cloudera , Red Hat make enterprise big data pact. Gartner, Inc.

Technical Review 108

Technical Review Technology Software Review 3D 108

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

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. An especially problematic example of unintended consequences involves the use of big data in trial sentencing. If y ou have good intentions, you can make it very good.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

Education 99

Education Analytics Recruiting Programming 99

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. You need analytics to make sense of everything. And analytics can never be a one-off project.

Big Data 40

Big Data Analytics Data Technical Review 40

Cloudera

SEPTEMBER 8, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics, and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Telcos have been pumping in over 1.5

IoT 70

IoT Industry Analytics B2C 70

Gorilla Logic

MAY 19, 2021

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. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Cloud capabilities for software outsourcing.

Software Review 94

Software Review Technical Review Software Development Team Review 94

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. What does it mean in practical terms?

Analytics 87

Analytics Tools Data Artificial Inteligence 87

The Cipher Brief

SEPTEMBER 20, 2020

Prior to joining American Progress, she served as a research assistant at Harvard University’s Belfer Center for Science and International Affairs and the Center for Public Leadership. The IC can get those insights by leveraging business analytics—already widely used in the corporate world—to transform the way it performs its mission.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Cloudera

OCTOBER 29, 2020

Encompassing academic excellence, world-class research, and state-of-the-art clinical care, Keck attracts internationally renowned experts who teach and practice at the Keck School of Medicine of USC.

Healthcare 51

Healthcare Data Systems Review Big Data 51

Altexsoft

FEBRUARY 8, 2021

Now, let’s find out what specific optimization possibilities analytics can provide in each supply chain element. Optimization opportunities offered by analytics. Analytics in planning and demand forecasting. Analytics in procurement and contract management. Assemble the data team. Everything starts with a plan.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

Cloudera

APRIL 7, 2021

Instantly available search results and publicly accessible social media channels have empowered customers and prospects to research and compare insurance companies, policies, prices, and services. Finally, the connected car, connected home, and connected self are generating an enormous amount of data. Data Monetization.

Insurance 59

Insurance Analytics Exercises IoT 59

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

Strategy Driven

APRIL 14, 2020

AI, machine learning, and big data are driving changes across verticals. Gracie Myers is a content writer at Research Optimus. She enjoys writing on various topics mainly associated with Research. Her famous articles are on the topic of Business Research, Market Research, Business Analytics and many more.

Analysis 42

Analysis Study Research Marketing 42

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Engineering 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Strategy Driven

MARCH 21, 2016

As individuals, we are challenged by the overwhelming amount of data we interact with in every scope of our lives. Learning how to make sense of data is becoming a necessity rather than a choice. Competitive organizations are embracing big data and re-engineering their strategies and processes accordingly.

Organization 21

Organization Data Big Data Business Analytics 21

Sunflower Lab

APRIL 2, 2024

Enhancing Customer Experience: Understanding their customer’s expectations and conducting predictive analytics provides CEOs with customer data to research so that they can personalize marketing and improve customer service. The customers may be happy with these services and would love to do business with you.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

CTOvision

OCTOBER 16, 2014

But I don’t care now, I’ve been on the stage in the big data community version of that gala. 2014 Finalists Announced for Data Impact Awards. Second Annual Awards Program, Presented by Cloudera, Honors Big Data Achievements. A TIBCO Spotfire advanced analytics solution purpose-built for a client. ?

Data 109

Data Big Data Analytics Nonprofit 109

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 105, -17) or even “Python” (No.

Conference 9

Conference Data Data Engineering Big Data 9

AWS Machine Learning - AI

APRIL 2, 2025

Conclusion This article highlights the efficacy of LLMs in expanding their functionality to deliver practical, data-driven solutions that have the potential to revolutionize business analytics and decision-making workflows. He helps customers implement big data and analytics solutions.

Artificial Inteligence 108

Artificial Inteligence Machine Learning Analytics AWS 108