Corinium

DECEMBER 9, 2019

AI is now well into its ‘early adoption’ phase, with businesses throughout the Middle East and Africa clamoring to launch new initiatives.

IT 332

IT Machine Learning 332

Analytics Vidhya

DECEMBER 9, 2019

Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of. The post Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games appeared first on Analytics Vidhya.

Analytics 277

Analytics Statistics Strategy 277

KDnuggets

DECEMBER 9, 2019

The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

Data Science 117

Data Science Digital Transformation 117

Sisense

DECEMBER 9, 2019

Blog. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Preserving insights. One of the biggest pitfalls in data is the preservation of insights when analysis is handed off from the data team to a business professional.

Dashboards 97

Dashboards Visualization KPI Strategy 97

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

KDnuggets

DECEMBER 9, 2019

Here are four common hurdles that need to be overcome before tapping into the benefits of predictive maintenance.

Machine Learning 110

Machine Learning 110

Data Science 101

DECEMBER 9, 2019

In case you don’t have time or the patience to read the entire post, Cloud Data Science News – Beta #5 ; you can watch the quick 60 second overview. Tons of machine learning news out of Amazon AWS. If you would like to get the updates as a weekly email, you sign up for the Newsletter.

Data Science 75

Data Science Machine Learning 75

Andrew White

DECEMBER 9, 2019

One of my client inquiries Friday repeated a sad refrain I hear all too often. In this case it was a public sector agency. The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

KDnuggets

DECEMBER 9, 2019

Also: Data Science Curriculum Roadmap; Enabling the Deep Learning Revolution; The Essential Toolbox for Data Cleaning; A Non-Technical Reading List for Data Science; The Future of Careers in Data Science & Analysis.

Deep Learning 61

Deep Learning Machine Learning Data Science 61

Data Insight

DECEMBER 9, 2019

Dashboards are all about having interactive data visualisations, that provide businesses with the latest insights at the tip of their fingers – accessible instantly, and always updated with the latest data. They transform raw data into something meaningful. While the concept is great in practice, the reality is that it doesn’t always work so well. Common problems include an overload of information (making the user have to spend time interpreting what it all means), lack clear insights leading to

Dashboards 52

Dashboards Sales Interactive Marketing 52

KDnuggets

DECEMBER 9, 2019

The new model showed great improvements over the previous AlphaZero agent.

Modeling 85

Modeling 85

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Andrew White

DECEMBER 9, 2019

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Alex Linden ‘s note, focused on organizational pitfalls of Machine Learning initiatives , entered the charts two weeks ago and last week ran up the charts to top spot! Enjoy.

Analytics 52

Analytics Machine Learning Interactive 52

CDW Research Hub

DECEMBER 9, 2019

Blockchain conferences used to focus on cryptocurrency, disruption and hackathons. However, recent attendance at the Blockchain Expo North America showed a significant shift in the blockchain landscape. There is now less focus on cryptocurrency and more on achievable business value. More and more large organizations are no longer questioning if blockchain is worth the time and instead have a strong appetite for incorporating blockchain throughout their enterprise.

IoT 52

IoT Internet of Things Manufacturing Enterprise 52

Teradata

DECEMBER 9, 2019

Identifying and focusing on priority analytic use cases within your organization will ensure you are asking the right business questions. Find out more.

Data Analytics 61

Data Analytics Analytics 61

Bruno Aziza

DECEMBER 9, 2019

Pharmaceutical Industry Faces Opportunity for Data-Driven Transformation

Data-driven 59

Data-driven 59

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

Teradata

DECEMBER 9, 2019

Identifying and focusing on priority analytic use cases within your organization will ensure you are asking the right business questions. Find out more.

Data Analytics 40

Data Analytics Analytics 40

Jet Global

DECEMBER 9, 2019

Compared to the information retrieval tools available in most other ERPs, NetSuite’s Saved Searches feature offers a lot to like. It’s intuitive to use, tracks down information quickly, and returns precise results. Generally, Saved Searches make finding anything within the ERP easy and accessible to all. As companies become more and more data-driven, it’s important to understand how each tool used to access that data fits into the overall strategy.

Reporting 72

Reporting Dashboards Data-driven Optimization 72

O'Reilly on Data

DECEMBER 9, 2019

Three reasons why confidence intervals should not be used in financial data analyses. Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Jet Global

DECEMBER 9, 2019

Only about three percent of CFOs will sleep well tonight, leaving the other 97 percent tossing and turning. Why? It has nothing to do with a lumpy mattress and everything to do with their financial reporting process. According to a recent survey of more than 900 CFOs and senior finance professionals across the globe, worrying about their organization’s reporting processes or deadlines is causing the vast majority of CFOs to lose some quality shut-eye.

Reporting 52

Reporting Finance Operational Reporting Data Integration 52

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

DataRobot

DECEMBER 9, 2019

You’ve probably seen amazing AI news headlines such as: AI can predict earthquakes. Using just a single heartbeat, an AI achieved 100% accuracy predicting congestive heart failure. A new marketing model is promising to increase the response rate tenfold. It all seems too good to be true. But as the modern proverb says, "If it seems too good to be true, it probably is.".

Data Science 19

Data Science IT Marketing Modeling 19