erwin

AUGUST 22, 2019

The design thinking process is a method of encouraging and improving creative problem-solving. The design thinking process is by no means new. John Edward Arnold, a professor of mechanical engineering and business administration, was one of the first to discuss the concept in as early as the 1950s. But the wave of digital and data-driven business has created new opportunities for the design thinking process to be applied.

Testing 111

Testing Consulting Enterprise Data-driven 111

KDnuggets

AUGUST 22, 2019

Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property. We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations.

Sales 95

Sales Technology Predictive Modeling Optimization 95

Jedox

AUGUST 22, 2019

Dear CFO, We heard that you put FP&A on your list of top priorities to work on. We understand that you’re not satisfied with the return on investment you’re getting from the department. You told us that there is too much data, reporting, and analysis and too few real insights that change decisions for the better. You also told us that you don’t feel adequately supported by the FP&A department on a strategic level to be a business partner to the CEO.

Consulting 84

Consulting Finance Technology Interactive 84

KDnuggets

AUGUST 22, 2019

New KDnuggets survey looks to find out what skills our readers currently use, and which they are looking to add or improve. Take a few minutes to participate.

Machine Learning 90

Machine Learning Data Science 90

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 22, 2019

Data science is one of the most promising career paths of the 21st-century. Over the past year, job openings for data scientists increased by 56%. People that pursue a career in data science can expect excellent job security and very competitive salaries. However, a background in data analytics, Hadoop technology or related competencies doesn’t guarantee success in this field.

Data Science 82

Data Science Big Data Publishing Technology 82

IBM Big Data Hub

AUGUST 22, 2019

The fusing of analytics with leading technologies can unlock significant business value and bring new transformation opportunities for enterprise companies. In order to be successful, analytics-based initiatives such as AI and the Internet of Things (IoT) need massive amounts of big data—and also the right applications to uncover hidden patterns, correlations and insights necessary to drive better data-driven decisions.

Internet of Things 77

Internet of Things IoT Data-driven Big Data 77

IBM Big Data Hub

AUGUST 22, 2019

Is your business ready to harness the power of AI to unlock value from all your data? Are you just getting started on your company’s path to AI – or are you working to scale AI to more areas of your enterprise business?

Enterprise 70

Enterprise 70

KDnuggets

AUGUST 22, 2019

As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important. Fast growing technology companies like Uber or LinkedIn have been forced to build their own in-house data lifecycle management solutions to power different groups of machine learning models.

Machine Learning 65

Machine Learning Management Testing Modeling 65

Nutanix

AUGUST 22, 2019

Our philosophy on.NEXT keynote presentations—much like our products—is all about disruption and delight. We seek presenters who share a passion for shaking up the status quo. Who are resilient and creative in the face of adversity.

20

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Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. A complementary Domino project is available. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

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

Nutanix

AUGUST 22, 2019

If you are struggling with on-premise security, you would also struggle with cloud security! IT teams are now realizing that my moving to public cloud can amplify your security shortfalls. But thankfully these can also be easily addressed.

IT 20

IT 20

Sisense

AUGUST 22, 2019

Blog. Python, R, and Analytics. SQL is a critical skill for business intelligence. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. It can help you discover exactly how your company is performing, what your customers are doing, or how people have reacted to your marketing campaigns. . Unfortunately, while SQL can tell you what has happened, it can’t tell you what will happen.

Analytics 73

Analytics Business Intelligence Visualization Predictive Analytics 73

Nutanix

AUGUST 22, 2019

Our philosophy on.NEXT keynote presentations—much like our products—is all about disruption and delight. We seek presenters who share a passion for shaking up the status quo. Who are resilient and creative in the face of adversity.

20

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