Decision Management Solutions

JANUARY 25, 2021

As a six-time honoree since 2016, James was selected for his excellence and expertise as an innovative thought leader in the technical community. Within this highly practical and innovative framework, subject matter experts engage directly in building decision models that help drive increased user engagement and enable data-driven decisions.

Insurance 52

Insurance Finance Machine Learning Data-driven 52

O'Reilly on Data

MARCH 23, 2021

The rise of the Internet, Search, social media, apps, and platforms has resulted in an information landscape that bypasses the centralized knowledge/reality-generation machine of broadcast media. It is, however, driven by the incentives (both visible and hidden) of significant power structures, such as Big Tech companies.

Internet Publishing and Broadcasting 315

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 315

Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. Machine Learning | Marketing. Machine Learning | Analytics. trillion pictures in 2016. Google Photos.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Smart Data Collective

MARCH 17, 2020

The global demand for big data is surging. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. First, you should learn how Data Science is relevant to yo u, whether you will like, and if there are opportunities for you. One of them is Data Science.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Cloudera

OCTOBER 31, 2017

We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. This year’s winners were selected based on percent growth in revenue from fiscal years 2014 to 2016. . Additional award wins can be found here. .

Machine Learning 40

Machine Learning IoT Data-driven Marketing 40

IBM Big Data Hub

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. Just six years after it emerged in 2016, the industry was projected to bring in USD 647 billion in the country.

Consulting 81

Consulting Marketing Sales Data Processing 81

Jet Global

MARCH 10, 2020

As a B2B technology implementation specialist, he works closely with companies to explore tech-driven opportunities and obstacles standing in front of them. At Target, Marriott, Yahoo, and Equifax, for example, data breaches resulting from technological failures translated into huge losses on the balance sheet. View Guide Now.

Digital Transformation 69

Digital Transformation Big Data B2B Data-driven 69

DataRobot Blog

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Cloudera

SEPTEMBER 20, 2022

Data — where does it come from? Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet. The content of these data sets may introduce problematic bias into a model’s results. arXiv, January 26, 2021. See also [link].

Deep Learning 91

Deep Learning Cost-Benefit Risk Data-driven 91

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements.

Testing 132

Testing Metadata Risk Data Science 132

Hurwitz & Associates

JULY 19, 2018

Edge solutions keep large and growing data sets close to where the data is generated, and faster networks facilitate data transfer from edge systems to the cloud. HPE CEO Antonio Neri put it this way in his keynote at the annual HPE Discover conference: ‘We are edge-centric, cloud-enabled and data-driven.”.

Strategy 40

Strategy Data-driven Experimentation Software 40

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

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 144

Analytics Machine Learning Insurance Testing 144

Cloudera

APRIL 27, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 102

IoT IT Manufacturing Internet of Things 102

CIO Business Intelligence

JUNE 22, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Much potential remains untapped when businesses do not translate their data into actionable insights from the point it is created, eroding the usefulness of data over time. .

IoT 89

IoT IT Manufacturing Internet of Things 89

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Over the past 40 years, Db2 has been on an exciting and transformational journey.

Machine Learning 86

Machine Learning Cost-Benefit IoT Data Warehouse 86

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Augmented Analytics is the Future of Data and Analytics. IBM Cognos, SAP BusinessObjects).

Marketing 72

Marketing Analytics Machine Learning Data Science 72

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning.

Technology 279

Technology Internet of Things IT IoT 279

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

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.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

MAY 2, 2017

The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. Remember: All data in aggregate is crap, segment or suck. If your dashboards are CDPs (customized data pukes) do this every three months.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

CIO Business Intelligence

OCTOBER 11, 2022

To accelerate growth through innovation, the company is expanding its use of data science and artificial intelligence (AI) across the business to improve patient outcomes. . This initiative alone has generated an explosion in the quantity and complexity of data the company collects, stores, and analyzes for insights. . “We

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

O'Reilly on Data

MAY 11, 2020

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. And anger and polarization are bankable commodities that drive the feedback loop in an engagement-driven world. In a long-term sense, definitely not.

Modeling 189

Modeling Advertising Recreation/Entertainment Metrics 189