Corinium

AUGUST 16, 2019

AI is transforming the customer service profession. Gartner predicts that 15% of all customer service interactions will be handled using AI by 2021. That means half of all enterprises could be spending more on AI than traditional mobile within two years.

Interactive 199

Interactive Enterprise 199

KDnuggets

AUGUST 16, 2019

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.

Marketing 123

Marketing Data Science 123

Srividya Sridharan

AUGUST 16, 2019

Come gather ’round, people, wherever you roam And admit that the waters around you have grown And accept it that soon you’ll be drenched to the bone If your time to you is worth savin’ Then you better start swimmin’ or you’ll sink like a stone For the times they are a-changin’ — Bob Dylan The […].

Customer Analytics 88

Customer Analytics IT Data-driven Data Governance 88

KDnuggets

AUGUST 16, 2019

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis.

Machine Learning 117

Machine Learning 117

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

Smart Data Collective

AUGUST 16, 2019

Predictive analytics is changing the future of weather predictions. A growing number of meteorologists are using big data to make more reliable predictions. A 2017 study by Pennsylvania State University addressed the benefits of big data in weather analysis. Mohammad Mahdi Kamani, a doctoral student and professor James Wang said that big data has simplified weather predictions.

Big Data 78

Big Data Forecasting Predictive Analytics Advertising 78

KDnuggets

AUGUST 16, 2019

Here, I will attempt an objective comparison between all three frameworks. This comparison comes from laying out similarities and differences objectively found in tutorials and documentation of all three frameworks.

95

95

Insight

AUGUST 16, 2019

The industry demand for Data Engineers is constantly on the rise, and with it more and more software engineers and recent graduates try to enter the field. The biggest hurdle for newcomers lies in understanding the Data Engineering landscape and getting hands-on experience with relevant frameworks. We at Insight offer a 7 week tuition-free Fellowship to transition into Data Engineering and have worked with hundreds of Fellows who had to overcome this exact hurdle.

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

Ontotext

AUGUST 16, 2019

Next month marks the twelfth edition of our live online training Designing a Semantic Technology Proof-of-Concept. The journey, which started more than two years ago, has been long and bumpy. But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

CDW Research Hub

AUGUST 16, 2019

NEBCO, Inc., is a fourth-generation Nebraska-based organization made up of 25 entities with business interest in such things as concrete production, mining, heavy construction, bonding real estate and recreation. In 2016, NEBCO’s IT leader recognized the need for a formal security program to ensure the integrity and availability of their data and systems.

Recreation/Entertainment 40

Recreation/Entertainment Consulting Testing Optimization 40

Juice Analytics

AUGUST 16, 2019

The importance of a good team to build data solutions can’t be underemphasized. If you’ve read anything like Francois Ajenstat ’s recent Forbes article or Roger Pen’s e-book on building data science effective teams you get many of the key points; however I would argue that in addition to these points you need to invest time with your Human Resources (HR) team and make them an integral part of the success.

Visualization 66

Visualization Data-driven Consulting Dashboards 66

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