Smarten

AUGUST 23, 2022

To answer this question, we first need to understand the difference between standard natural language processing in analytics (AKA Dumb NLP) and context-driven searching using natural language processing (AKA Intuitive NLP). It recognizes the data in the column or field but not the context. It’s that simple.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Sisense

JUNE 9, 2021

Here at Sisense, we’re particularly excited because the tournament is more than just a festival of skill and athleticism; it’s a clash of analytics insights. In the modern game, analytics is an essential part of a winning formula that has revolutionized football teams and the way they play. We can’t wait!

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Smarten

JUNE 15, 2022

If you want to improve results, ensure fact-based decisions, increase data literacy, improve productivity and collaboration and ensure great ROI and TCO (not to mention improving user adoption and user satisfaction), look for augmented analytics solutions with NLP AND context-driven search capability.

Analytics 52

Analytics ROI Data-driven Sales 52

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Smart Data Collective

JUNE 7, 2019

One of the most fascinating things about big data is its ability to optimize the design of products that have pre-dated digital technology by centuries. Improvements were needed for imaging and data storage. Fujitsu has recently started embracing the benefits of big data. One of the most interesting examples is with magnets.

Big Data 77

Big Data Cost-Benefit Predictive Analytics Manufacturing 77

Jet Global

MAY 1, 2020

So, in aggregate, more than half (56%) of finance functions are on the side-lines of performance and unable to leverage analytics for insight and competitive advantage. The ability to merge processes as well as join operational and financial data is crucial to delivering more insight and enabling better decisions.

Finance 78

Finance Analytics Forecasting Reporting 78

Jedox

JULY 17, 2018

But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. But even so, companies are only starting to scratch the surface of their data’s true potential. Empowering FP&A to make faster and better business decisions.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 93

Analytics IoT Cost-Benefit Big Data 93

Jet Global

NOVEMBER 8, 2021

It’s about adapting to a rapidly changing world, using data-driven insights to assess the situation, understand the alternatives in front of you, and take the action necessary to win in an increasingly competitive global marketplace. Finance transformation is ultimately about competitive advantage.

Finance 52

Finance Predictive Analytics Reporting Uncertainty 52

BizAcuity

MARCH 8, 2019

Workforce Analytics – What is its need for companies. Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Decision Management Solutions

NOVEMBER 19, 2020

A 2018 McKinsey global survey shows that 47% of organizations say they have “embedded at least one [AI capability] into their standard business processes, while another 30% report piloting the use of AI.”. by James Taylor, CEO, Decision Management Solutions.

IT 52

IT Modeling Insurance Technology 52

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 exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

BizAcuity

APRIL 25, 2022

In 2018, the US Supreme Court’s decision to legalize sports betting was historic. Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. Especially, when there is no data to track the efficacy of any marketing initiative.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Hurwitz & Associates

APRIL 2, 2019

Hybrid clouds and multi-clouds, spanning enterprise data centers, private clouds and public clouds, are placing a new set of requirements on customers’ storage systems. To do this, IBM is emphasizing the need to “visualize” data resources – and to embed AI and ML technology into the offering to help extend the capabilities of IT staff.

Software 56

Software Enterprise Snapshot Management 56

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. Two weeks ago, we announced the finalists.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

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

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane. Contact a member of the DataRobot team to learn more and see how your organization can become AI-driven. over $1.875 trillion.

Risk 52

Risk Predictive Modeling Insurance Predictive Analytics 52

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smart Data Collective

JANUARY 14, 2021

It is no secret that email technology has then significantly shaped by new developments with big data. We have talked extensively about the benefits of using big data in the field of email marketing. However, there are plenty of other novel data technology applications that email providers are rolling out.

Big Data 102

Big Data Machine Learning Data-driven Predictive Analytics 102

Cloudera

OCTOBER 26, 2023

We’ve all heard that data helps businesses make better decisions. This isn’t just speculation: research shows that companies who use data to drive decision making increase revenues by an average of more than 8%, are 23 times more likely to attract new customers, and are 19 times more likely to be profitable as a result. The good news?

Data-driven 76

Data-driven Predictive Analytics Forecasting Enterprise 76