Decision Management Solutions

JUNE 25, 2019

I presented on Backwards Engineering – planning Machine Learning (ML) deployment in reverse. Leslie Barrett , Senior Software Engineer, Bloomberg LP discussed Machine Learning Evaluation from Start to Finish. Plus, he had a great shout-out to CRISP-DM, a framework we really like too. Details will appear at [link].

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Corinium

JUNE 6, 2019

What do you recommend to organizations to harness this but also show a solid ROI? A playbook for this is to run multiple experiments in parallel and create ‘MVPs’ (fail/learn fast), as well as incorporate feedback mechanisms to enable an improvement loop, and scaling the ones that show the fastest path to ROI.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. pathfinding ); (2) was there a dominant influencer who initiated the most ROI from the marketing campaign? The campaign looks like a failure. community detection ).

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Cloudera

FEBRUARY 8, 2021

billion in 2019, and is projected to reach $225.16 In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Modeling 108

Smart Data Collective

JANUARY 14, 2021

Machine learning has drastically changed the direction of the financial industry. In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. The best stock analysis software relies heavily on new machine learning algorithms.

Predictive Analytics 81

Predictive Analytics Forecasting Analytics Machine Learning 81

DataRobot

NOVEMBER 12, 2021

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. Beacon Street experienced: • A 30 to 35 times ROI in revenue gains and cost decreases. •

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98

Cloudera

NOVEMBER 16, 2020

million in 2019 to $7.9 from 2019 to 2024. Fraud is one of the use cases where technology has made a huge, measurable difference: focusing on fraud detection and prevention, Emerj reports insurers have seen ROIs of up to 400% on their investments in fraud technology. . million by 2024, a CAGR of 25.8%

Insurance 100

Insurance ROI Marketing Machine Learning 100

Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable. This way of using machine learning is still in its early stages.

ROI 102

ROI Statistics Machine Learning Measurement 102

CIO Business Intelligence

SEPTEMBER 10, 2022

Like many insights-driven organizations, the United States Patent and Trademark Office (USPTO) leverages data analytics and technologies such as AI and machine learning (ML) to increase the efficiency and performance of its operations and to improve the quality of systems and processes.

Data-driven 99

Data-driven Machine Learning ROI Modeling 99

Smart Data Collective

AUGUST 29, 2019

In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. The Becoming Human: Artificial Intelligence blog has talked about the utilization of machine learning in retargeting. Big Data is Essential to Success in Sales in 2019.

Sales 73

Sales Data-driven Marketing Strategy 73

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. In 2019, Netflix alone released 371 new TV shows and movies. ROI = Profit/Budget).

Risk 67

Risk ROI Modeling Metrics 67

Smart Data Collective

FEBRUARY 6, 2020

Machine learning has given birth to a ton of new personalization capabilities. Criteo has talked about some of these breakthroughs with machine learning and personalization , which include a greater availability of real-time data and ability to mine and process it more quickly. But that’s not true at all.

Big Data 116

Big Data Marketing Machine Learning Advertising 116

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Menninger states that modern data governance programs can provide a more significant ROI at a much faster pace. By Arshkrit Chowdhury, Guest Author.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

datapine

DECEMBER 11, 2019

2019 was a breakthrough year for the SaaS world in many ways. Indeed, according to Bloomberg, public cloud platforms, business services, and applications (SaaS) will all grow at a 9% CAGR (Compound Annual Growth Rate) between 2019 and 2023, and worth $60.36 A Betterbuys report reveals that the specific expenditure in the U.S.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Occam's Razor

JANUARY 7, 2019

To help kick-start your 2019 step change , I’ve written two “Top 10” lists, one for Marketing and one for Analytics – consisting of things I recommend you obsess about. Learn what Session Quality is in Google Analytics, then learn how to use it in your campaigns to improve conversions. Bonus: Reporting kills, analysis thrills.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

Smart Data Collective

AUGUST 15, 2019

Here are some ways AI is transforming PPC : Machine learning tools help you identify the bids that are going to get the most traffic. Machine learning and predictive analytics are changing the field of PPC in fantastic ways. AI can predict the CTR of future ads, as well as the impact on quality scores. Instant Results.

Optimization 63

Optimization Strategy Advertising Machine Learning 63

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. Latest in quantum physics?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Smart Data Collective

DECEMBER 19, 2019

© Statista 2019 Also, here is a list of some other stats. According to GlobeNewswire , over 61% of business professionals agree that AI and Machine Learning are the most significant data initiative in their organizations. Different machine learning and AI systems consume a massive amount of data.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Corinium

APRIL 25, 2019

What do you recommend to organizations to harness this but also show a solid ROI? Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Given the two points above, that’s okay—there are good ways to direct data exploration toward ROI. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). Introduction. Welcome back to our monthly series about data science!

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

MAY 1, 2023

Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

The work of data science is more tied to machine learning and so AI and those projects do not focus only on analysis but also automation. Our operational teams are dissuaded from embracing D&A pilot programs into their operations because the ROI is so small. How do we verify ROI on data and analytics efforts?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52