Corinium

MAY 15, 2019

64% of C-level exes said that AI and machine learning would improve customer and agent experience.

Machine Learning 150

Machine Learning 150

Smart Data Collective

MAY 15, 2019

Big data is having a profound effect on the privacy debate. The problem is that people only look at it from one perspective. They see big data as a looming threat to their privacy. This is an issue that Tech Republic brought to our attention a couple of years ago in their post Big data privacy is a bigger issue than you think. The post showed that big data is raising a number of concerns about privacy rights.

Big Data 60

Big Data Predictive Analytics Machine Learning Technology 60

Analytics Vidhya

MAY 15, 2019

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, The post Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R) appeared first on Analytics Vidhya.

Statistics 277

Statistics Testing Data Science IT 277

Domino Data Lab

MAY 15, 2019

This Domino Data Science Field Note covers Pete Skomoroch ’s recent Strata London talk. It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

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

DataRobot

MAY 15, 2019

Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles , by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, “It’s clever, but is it Art?” Pollock’s piece looks like paint messily spilled onto a drop sheet protecting the floor. The debate of what constitutes art has a long history that will probably never be settled, there is no definitive definition of art.

IT 107

IT 107

IBM Big Data Hub

MAY 15, 2019

Streams v5.0 for IBM Cloud Private for Data (ICP for Data) provides a real-time engine within our data platform. The platform simplifies bringing artificial intelligence (AI) into your enterprise processes.

Enterprise 91

Enterprise 91

Jet Global

MAY 15, 2019

Microsoft Dynamics 365 Finance & Operations (D365FO) is a cloud-based business management solution built from the robust architecture of Dynamics AX. While some functionality has stayed the same, other areas, like reporting and analytics, have changed quite drastically and many people are unfamiliar with the new hurdles they face. In this Webinar, we will be covering several topics that impact self-service reporting, data access, and data consolidation in D365FO , including SSRS reporting, d

Finance 75

Finance Reporting Analytics Strategy 75

Smart Data Collective

MAY 15, 2019

Big data has opened a number of doors for marketers. One of the most overlooked benefits of big data is that it allows marketers to translate documents from one language to another. Memsource shows that big data is revolutionizing translation solutions , primarily due to the advent of more sophisticated cloud language platforms and machine learning capabilities.

Big Data 89

Big Data Marketing Machine Learning Advertising 89

Domino Data Lab

MAY 15, 2019

Our last release, Domino 3.3 saw the addition of two major capabilities: Datasets and Experiment Manager. “Datasets”, a high-performance, revisioned data store offers data scientists the flexibility they need to make use of large data resources when developing models. And “Experiment Manager” acts as a data scientist’s “modern lab notebook” for tracking, organizing, and finding everything tested over the course of their research.

Testing 65

Testing Management Modeling Data Science 65

Smarten

MAY 15, 2019

Even with an unlimited budget, it would not be a wise decision for a business to target every customer in the market. If an enterprise is to succeed, it must understand its products and services and it must know the profile of the customer it is targeting. If an organization is going to successfully target customers and make optimal use of its marketing budget, it must understand customer buying behavior, and categorize its products and services to target the right customer segments and preferen

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51

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

Cloudera

MAY 15, 2019

With Dataworks Summit kicking off in Washington, DC next week, we are super excited to have Charles Boicey MS, RN-BC and Chief Innovation Officer for Clearsense, as one of the keynote speakers. A notable expert and clinical information systems specialist, Charles, offers his 25-plus years of strategic leadership. He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange.

Enterprise 50

Enterprise Data Lake Data mining IoT 50

CDW Research Hub

MAY 15, 2019

Prevention alone will eventually fail: just read the data breach headlines making news on a weekly—if not daily—basis. Many companies are asymmetrically focused on the defensive role and not focused enough on preparing for the inevitable. Subbing-in an offensive team has its perks. First, let’s go back to the basics: Offense: The action of attacking someone or something.

Risk 45

Risk Management Enterprise Modeling 45

Data Virtualization

MAY 15, 2019

When we began consolidating our technology and AI predictions for 2019, what stood out to me were the ways in which artificial intelligence can be used for social good in 2019 and beyond. In 2018 the CDC determined that approximately.

Technology 40

Technology Big Data Data Analytics Analytics 40

Smarten

MAY 15, 2019

Businesses do not want to be surprised by downtime, equipment failure or the cost of unanticipated equipment replacement. If the enterprise can anticipate the need for equipment maintenance and downtime, it can plan more effectively for product output, resource requirements and expenses. For a business that must purchase, maintain and replace equipment, it is crucial to anticipate resource requirements and plan for related expenses for hours on the job as well as the training required to maintai

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

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