CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 108

Big Data Technology Tools Cloud 108

CIO

APRIL 22, 2022

A PhD proves a candidate is capable of doing deep research on a topic and disseminating information to others. Some of the best data scientists or leaders in data science groups have non-traditional backgrounds, even ones with very little formal computer training. Data science certifications. Data science teams.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

SEPTEMBER 9, 2022

PwC research suggests that AI could contribute as much as $15.7 Gartner research suggest that only 54 per cent of AI projects make it from pilot to production. Scaling AI continues to be a significant challenge,” Frances Karamouzis, distinguished VP analyst at Gartner , said of the research.

Innovation 217

Innovation Artificial Inteligence Artificial Intelligence Testing 217

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

CTOvision

MARCH 14, 2014

Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. March 12, 2014, San Francisco, CA —Delivering the future of analytics , Pentaho Corporation today announced that 2013 was another record year with 83 percent bookings growth from big data and embedded analytics customers over 2012.

Big Data 107

Big Data Business Analytics Company Analytics 107

The Accidental Successful CIO

JUNE 26, 2013

One of the things that makes having the CIO job different today from how it was in the past, besides the growing awareness of the importance of information technology, is the arrival of so-called “big data” We’re talking about terabytes or even petabytes of data and all of the headaches that come along with it.

Big Data 74

Big Data Data Analytics Innovation 74

CIO

JUNE 13, 2024

The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 The difference between data analysts and data scientists comes down to timescale.

Data 148

Data Analytics Transportation Business Intelligence 148

CTOvision

SEPTEMBER 9, 2016

Research Team. Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. Intelligence Community (IC). “By

Big Data 60

Big Data Data Analytics Business Intelligence 60

CIO

MARCH 21, 2022

For more on data scientist job descriptions from a hiring perspective, see “ Data scientist job description: Tips for landing top talent.”. Data scientist vs. data analyst. Data scientists often work with data analysts , but their roles differ considerably. Data scientist skills.

Analytics 205

Analytics Data Technical Review Analysis 205

Dion Hinchcliffe's Web 2.0 Blog

AUGUST 28, 2011

I especially liked his chart on the top 20 use cases based on the responses of over 100 early adopters: Ray and his team has been doing some great research lately and I look forward to watching what they put out next. The Disruptive Business Landscape Adds Big Data, Algorithms. At Dreamforce in San Francisco this week.

Social 92

Social Enterprise Research Big Data 92

CTOvision

SEPTEMBER 9, 2017

Data is an overall commodity that a lot of individuals make use these days. It's not surprising to find students trying to accomplish their work through the aid of the internet or research material being readily available online.

Big Data 81

Big Data Data Internet Research 81

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

CTOvision

SEPTEMBER 9, 2016

Research Team. Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. Intelligence Community (IC). “By

Big Data 60

Big Data Data Analytics Scalability 60

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

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. They collect vast amounts of information, and use data science to discover new customers needs, develop new products and services, and identify trends and opportunities. Knowledge is power.

Big Data 62

Big Data Organization Data Business Intelligence 62

CTOvision

DECEMBER 16, 2014

Widely know in enterprise technology circles for their advanced analytics, business intelligence and enterprise data management capabilities, SAS is continuing to invest in innovation, partnering and mission focused application development. Big Data Solutions (with Hadoop). In-Memory and In-Data Base Analytics.

Big Data 84

Big Data Business Intelligence Analytics Technical Review 84

CTOvision

SEPTEMBER 11, 2016

Research Team. Tibco has long been known for helping businesses interconnect their data in ways that enable business decisions. Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user.

Business Intelligence 60

Business Intelligence Analytics Telecommunications Airlines 60

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

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

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

Data 200

Data How To Artificial Inteligence Machine Learning 200

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

Big Data 52

Big Data Data Development Business Intelligence 52

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. The project is filled with innovative data visualizations. It also features a drag-and-drop interface.

Data 214

Data Analytics Travel Business Intelligence 214

CTOvision

MARCH 5, 2014

You will also learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses. The Data Warehouse Toolkit, 3rd Edition: The Definitive Guide to Dimensional Modeling. Chapter 21: Big Data Analytics. Complimentary Chapter. Ralph has his Ph.D. For more see: [link].

Data 107

Data Big Data Case Study Analysis 107

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI).

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

Dell EMC

NOVEMBER 25, 2019

New research suggests it should. ESG research finds that AI-enabled organizations considered to be the “Most Advanced” IT shops are 2.6x more likely to lead the competition in business intelligence and analytics. Is your company aiming to be a leader in the field of predictive analytics?

Analytics 60

Analytics Business Intelligence Research Infrastructure 60

AWS Machine Learning - AI

MARCH 18, 2025

The LLM can then use its extensive knowledge base, which can be regularly updated with the latest medical research and clinical trial data, to provide relevant and trustworthy responses tailored to the patients specific situation. Dont feel like reading the full use case? No problem! Dont feel like reading the full use case?

Artificial Inteligence 79

Artificial Inteligence Technical Review Healthcare Systems Review 79

CIO

SEPTEMBER 18, 2023

The 300-person shop doesn’t focus on the classic network or data center support roles — those are outsourced to service providers. It’s made our BI department a lot more effective, not only in managing the IT side, but they’re able to effectively speak to business users in a language they understand,” Hsiao says.

Technical Review 204

Technical Review Pharmaceuticals Security Training 204

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

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

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

CTOvision

SEPTEMBER 17, 2016

Research Team. Business and data-science users across the enterprise can collaborate and drive high-quality decisions, via Arimo’s market-leading unified interface. The Arimo Data Intelligence Platform is easy to use and deploy. The Arimo Data Intelligence Platform is easy to use and deploy.

Enterprise 99

Enterprise Big Data Video Leadership 99

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. I believe that the data science and big data communities are well-positioned to contribute to both automation and decentralization.

Analytics 177

Analytics Artificial Inteligence Data Machine Learning 177

CIO

APRIL 10, 2024

Fortunately, emotional intelligence and communication skills are something people can change, says Ronald Placone, professor at Carnegie Mellon University, who’s done research in this area. In fact, people normally gain emotional intelligence with age, he says. For business intelligence jobs, the main skill is SQL.

Artificial Inteligence 203

Artificial Inteligence Generative AI Training Coaching 203

Datavail

AUGUST 19, 2021

We’ve done a lot of research on this question, and we’ve compiled that research into a list of the most critical benefits organizations are looking for in terms of business intelligence (BI) systems that provide data analytics. Business leaders want the ability to do self-service data exploration and discovery.

Analytics 98

Analytics Data Business Intelligence Media 98

Cloudera

DECEMBER 1, 2023

Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. It focuses on five key pillars: investing in research and development; unleashing government AI resources; setting standards and policy; building the AI workforce; and advancing trust and security.

Data 109

Data Government Artificial Inteligence Artificial Intelligence 109