datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. The TIOBE index confirms that the popularity of Python is increasing.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. These data scientists require the flexibility to use a constantly-evolving software and hardware stack to optimize each step of their model lifecycle. Reflections. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

Smarten

AUGUST 23, 2022

THAT is what they want in analytics as well and if you don’t give it to them, they are unlikely to adopt the analytical tools you invested in or to achieve the results you wanted for optimizing resources, improving productivity and, most importantly, engaging in fact-based decision making that will improve the business bottom line.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

BizAcuity

APRIL 25, 2022

In 2018, the US Supreme Court’s decision to legalize sports betting was historic. To fully utilize the benefit, high-end algorithms are deployed on digital assets and then data analysis is done to produce optimized marketing campaigns. Predictive Analytics. Gaming analytics is still evolving. Floor Optimization.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Hurwitz & Associates

APRIL 2, 2019

It reflects the reality that nearly all enterprises have a multi-vendor storage environment that must manage and optimize the performance of existing storage investments. Since 2018, the Storwize line is sold only through the channel, targeting lower price points, and gaining direct support through IBM’s global network of channel partners.

Software 56

Software Enterprise Snapshot Management 56

datapine

OCTOBER 21, 2020

However, as an article by Fast Company states, there are precedents to navigating these types of problems and roadblocks while accelerating progress towards curing cancer using the strength of data analytics. 8) Predictive Analytics In Healthcare. 18) Developing New Therapies & Innovations.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Cloudera

SEPTEMBER 12, 2018

And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera. Two weeks ago, we announced the finalists.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Sisense

JUNE 9, 2021

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. In a study of passing networks in football , analysis of a Barcelona versus Real Madrid match in 2018 illustrates this point.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Smart Data Collective

AUGUST 21, 2019

billion in 2018. They can use many different types of machine learning and predictive analytics technology to get the most of it. You can use big data to segment customers, identify growing market opportunities and optimize campaigns far more effectively. Big data is changing the future of the retail industry.

Big Data 78

Big Data Sales Marketing Predictive Analytics 78

BizAcuity

MARCH 8, 2019

Workforce analytics in Event Industry – Its Relevancy in today’s HR environment. Every single line of business in the event industry has employees working in it and needs to think about how to use predictive analytics tools and advancements in optimizing the selection and output of their workforce. Image Source: [link].

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Some companies struggle to optimize their data’s value and leverage analytics effectively.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. 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

Business Over Broadway

DECEMBER 20, 2018

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Smarten

JANUARY 24, 2019

Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smart Data Collective

JUNE 30, 2023

By leveraging these resources, you can optimize your financial plan and stay on track toward achieving your goals. They Use predictive analytics technology to better anticipate possible emergencies and the expected costs associated with them.

Insurance 80

Insurance Finance Cost-Benefit Strategy 80

datapine

NOVEMBER 27, 2019

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JUNE 5, 2024

The data is feeding AI predictions around everything from the optimal batting lineup against a starting pitcher, and optimal defensive positioning against a given batter facing a given pitcher, to injury prediction.

Optimization 105

Optimization Predictive Modeling Data-driven Modeling 105