CTOvision

SEPTEMBER 17, 2014

The 2014 Data Impact Awards highlight achievements in the following areas: BUSINESS IMPACT. Merv Adrian is a Research Vice President following RDBMS, NoSQL, Hadoop and other big data technologies as digital business transforms assumptions about how to activate and leverage unused information assets. Dan Vesset.

Big Data 105

Big Data Fractional CTO Government CTO 105

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 102

Big Data Technology Tools Cloud 102

TechCrunch

MARCH 16, 2021

The company, which was founded in 2019 and counts Colgate and PepsiCo among its customers, currently focuses on e-commerce, retail and financial services, but it notes that it will use the new funding to power its product development and expand into new industries. ” Image Credits: Noogata.

Enterprise 277

Enterprise Artificial Inteligence Retail Machine Learning 277

Apiumhub

DECEMBER 9, 2024

Compliance : For companies in regulated industries, managing secrets securely is essential to comply with standards such as GDPR, HIPAA, and SOC 2. This opens a web-based development environment where you can create and manage your Synapse resources, including data integration pipelines, SQL queries, Spark jobs, and more.

Azure 92

Azure Analytics Storage Machine Learning 92

TechCrunch

FEBRUARY 7, 2022

Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities. Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

TechCrunch

APRIL 24, 2022

The fishing market globally was worth $253 billion in 2021, and despite the controversy that swirls around the industry, that figure continues to grow. “It’s enabling less wastage, but it’s also just empowering seafood traders to do their jobs better,” she said. ”

Retail 242

Retail Business Intelligence Analytics Industry 242

TechCrunch

JUNE 17, 2021

The second of these is to use Transform to simply make the work of the data team more efficient and easier, by turning the most repetitive parts of extracting insights into automated scripts that can be used and reused, giving the data team the ability to spend more time analyzing the data rather than just building data sets.

Metrics 247

Metrics Tools Data Big Data 247

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 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). Data analytics examples.

Analytics 203

Analytics Data Analysis Business Analytics 203

CIO

MARCH 21, 2022

The final results of a data scientist’s analysis must be easy enough for all invested stakeholders to understand — especially those working outside of IT. A data scientist’s approach to data analysis depends on their industry and the specific needs of the business or department they are working for.

Analytics 205

Analytics Data Analysis Technical Review 205

TechCrunch

JUNE 25, 2021

Seattle-based Edge Delta , a startup that is building a modern distributed monitoring stack that is competing directly with industry heavyweights like Splunk, New Relic and Datadog, today announced that it has raised a $15 million Series A funding round led by Menlo Ventures and Tim Tully, the former CTO of Splunk.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

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

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

TechCrunch

SEPTEMBER 19, 2022

Tregoe, CEO, told TechCrunch that while helping brands like Casper, Peloton and Warby Parker understand how to do more effective Facebook advertising, they realized they were building big data systems and modeling revenue on a per customer basis. That got them thinking about what else they could do with the data. “We

Games 214

Games Analytics Advertising Big Data 214

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data 179

Data Artificial Inteligence Artificial Intelligence Analytics 179

CIO

MAY 12, 2022

Composite AI mixes statistics and machine learning; industry-specific solutions. Supports larger data management architecture; modular options available. SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights. Deep integration with SAP warehouse and SCM; low-code, no-code features.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

TechCrunch

DECEMBER 16, 2020

It stems from us seeing the explosive growth of the data warehouse space, both in terms of technology advancements as well as like accessibility and adoption. […] Our goal is to be seen as the company that makes the warehouse not just for analytics but for these operational use cases.”

Data 251

Data Analytics B2C Big Data 251

CTOvision

JULY 30, 2015

Tamr was founded in 2013 by a distinguished cadre of database industry veterans including Andy Palmer and Turing award winner Mike Stonebreaker. Tamr enables enterprises to make use of 100% of available data by unifying and enriching data holdings. With this post we are initiating coverage of Tamr.

Analytics 122

Analytics Data Big Data Machine Learning 122

CTOvision

FEBRUARY 4, 2015

The Cloudera Federal Forum, now in its 4th year, has always been filled with lessons learned, best practices and informative glimpses into what is coming from the big data tech community. 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

DevOps.com

OCTOBER 29, 2019

In the age of big data, businesses are inundated with data points. While they know there’s an abundance of valuable resources available to them, making sense of this data to derive actionable insights is often still a challenge.

Business Intelligence 56

Business Intelligence Big Data Survey Enterprise 56

CTOvision

JANUARY 25, 2015

If you will be in Boston 30-31 Mar this is the place to be, the 2015 Chief Data Strategy Forum. Here is more from IQPC: Driving Improved Decision-Making Through Data-Centric Business Intelligence. By 2015, it is forecast that 25% of Fortune 500 companies, across all industries, will have CDOs employed*.

Strategy 105

Strategy Data Business Intelligence Big Data 105

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

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

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

SEPTEMBER 11, 2016

Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user. We track Tibco in our Disruptive IT Directory in the category of Business Intelligence and Analytics Companies.

Business Intelligence 60

Business Intelligence Analytics Telecommunications Airlines 60

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). The lakehouse as best practice.

Data 210

Data Technical Review Technical Advisors Artificial Inteligence 210

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.),

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

APRIL 8, 2021

With the Data Science industry continually evolving, there can be a lot to keep up with. Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. He also manages the LinkedIn group Awesome Ways Big Data Is Used to Improve Our World.

Artificial Inteligence 111

Artificial Inteligence Technical Advisors Data Machine Learning 111

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. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CTOvision

SEPTEMBER 8, 2014

The 2014 Data Impact Awards highlight achievements in the following areas: BUSINESS IMPACT. Merv Adrian is a Research Vice President following RDBMS, NoSQL, Hadoop and other big data technologies as digital business transforms assumptions about how to activate and leverage unused information assets.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

CIO

JANUARY 20, 2023

And modern object storage solutions, offer performance, scalability, resilience, and compatibility on a globally distributed architecture to support enterprise workloads such as cloud-native, archive, IoT, AI, and big data analytics. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Hacker Earth Developers Blog

JUNE 26, 2019

One should have a good understanding of basic programming concepts, data structures such as trees and graphs and most commonly used algorithms. The candidate should be able to code in either of the languages – Python or R-which are the most widely used languages in data science in the industry. Business /Domain Knowledge.

Data 200

Data How To Machine Learning Artificial Inteligence 200

Dataiku

OCTOBER 5, 2023

Our industry has talked about the three pillars of digital transformation for decades: people, process, and technology. However, most organizations implement them in the reverse order.

Data 83

Data Business Intelligence Culture Generative AI 83

Perficient

NOVEMBER 17, 2024

Across industries like manufacturing, energy, life sciences, and retail, data drives decisions on durability, resilience, and sustainability. A significant share of this critical data resides in SAP systems , which is why so many business have invested i SAP Datasphere.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

CTOvision

SEPTEMBER 11, 2016

The result of Tibco's acquisitions and their own foundation of BI tools is a company that can integrate apps, enhance business process management, improve master data management, enable complex event and in stream processing, and visualize data holdings.

Business Intelligence 62

Business Intelligence Analytics Telecommunications Airlines 62

CTOvision

JANUARY 19, 2014

The place for enterprises to store all data with enterprise grade data management and protection, with access by any system (from legacy to modern, from proprietary to open source). This is the big data news of 2013, from a technology perspective. Business Intelligence 2.0:

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109