Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Data science pipeline is the procedure and equipment used to compile raw data from many sources, evaluate it, and display the findings in a clear and concise manner. Businesses use the method to get answers to certain business queries and produce […]. The post Basic Introduction to Data Science Pipeline appeared first on Analytics Vidhya.

Data Science 273

Data Science Publishing Analytics IT 273

KDnuggets

AUGUST 16, 2022

High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.

Data Science 126

Data Science Management Digital Transformation IT 126

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction As an SQL Developer, you regularly work with enormous amounts of data stored in different tables that are present inside databases. This often becomes difficult to extract the information if it is not organized properly. We can solve this problem using Normalization by […].

Data Science 270

Data Science Publishing Analytics IT 270

KDnuggets

AUGUST 16, 2022

This blog outlines a solution to the Kaggle Titanic challenge that employs Privacy-Preserving Machine Learning (PPML) using the Concrete-ML open-source toolkit.

Machine Learning 128

Machine Learning 128

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

Analytics Vidhya

AUGUST 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Speech impairments afflict millions of people with underlying reasons, including neurological or hereditary diseases, physical handicaps, brain damage, hearing loss, etc. Furthermore, the resulting speech patterns are diverse and complex, including stuttering, dysarthria, apraxia, etc., and adding to that; there is a […].

Modeling 228

Modeling Data Science Publishing Analytics 228

KDnuggets

AUGUST 16, 2022

Converting Jupyter notebooks to a well-designed software system is a mandatory step in every ML project. But there is a notable lack of tooling to assist developers with such translation, beyond the basic nbconvert utility.

Software 108

Software 108

TDAN

AUGUST 16, 2022

I had a great experience attending the MIT Chief Data Officer and Information Quality Symposium in Cambridge this July. It was truly enlightening to hear from so many experienced data leaders. This year, there were 2,855 registered attendees from 63 countries, including 1,218 Chief Data Officers. I always learn so much at these symposia. In […].

Data Quality 98

Data Quality IT Data Strategy Data Governance 98

Smarten

AUGUST 16, 2022

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles. Scheduler Management : Reinitiate Missed Tasks for Dataset Rebuild and Delivery Publishing Tasks. Smarten Application Security: Password patterns and configurations in Smarten.

Predictive Modeling 67

Predictive Modeling Publishing Modeling Management 67

TDAN

AUGUST 16, 2022

Unfortunately, a lot of data governance programs fail and there are many reasons why. The silver lining is that there are great lessons from these failures that we can learn from and make sure that we will avoid them in our data governance program. Here are the keys to data governance success: Treat Data Governance as […].

Data Governance 98

Data Governance Metadata Data Strategy Strategy 98

Dataiku

AUGUST 16, 2022

To compete and stay relevant in a rapidly changing world, businesses need to embrace the idea of using data and AI for their marketing activities. This also means a changing dynamic in the activities and skills that marketers will need to have and to execute in order to implement marketing AI solutions. But it doesn't mean all marketers need to become data scientists overnight or vice versa — instead, the focus should be on collaboration.

Marketing 64

Marketing IT 64

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

TDAN

AUGUST 16, 2022

In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous Language that defines the Bounded Context in […].

Data-driven 59

Data-driven Management Modeling Data Architecture 59

DataRobot Blog

AUGUST 16, 2022

If you’ve been keeping up with business literature lately, you know that adopting artificial intelligence (AI) strategies can increase company revenue, improve efficiency, and keep customers happy. But even the best models cannot improve performance until they are put into production. What are companies actually doing today? Alexander Rode and Timm Grosser, analysts at the Business Application Research Center (BARC), decided to find out by surveying 248 companies from a variety of industries abo

Digital Transformation 52

Digital Transformation ROI Testing Modeling 52

TDAN

AUGUST 16, 2022

Big data and data analytics have become widely popular across nearly every industry. The information companies and organizations can gather from user data allow them to make improvements to how they operate and the services they provide to benefit their customers. But the healthcare industry in particular is seeing significant improvements from the big data […].

Big Data 52

Big Data Data Analytics Analytics Business Intelligence 52

CIO Business Intelligence

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems. Keith Bentley of software developer Bentley Systems describes digital twins as the biggest opportunity for IT value contribution to the physical infrastructu

Visualization 145

Visualization Cost-Benefit IoT Digital Transformation 145

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

TDAN

AUGUST 16, 2022

Data Acumen, Literacy, and Culture Data literacy, or data acumen[1] as we like to call it, is increasingly cited as a critical enabler of being a data-driven organization. The trouble is it isn’t well defined. We set out to do something about that and developed a data acumen quick reference. Using the quick reference, folks […].

Data-driven 52

Data-driven IT Data Quality Data Strategy 52

IBM Big Data Hub

AUGUST 16, 2022

As the US Open’s official technology partner, IBM Consulting works with the United States Tennis Association (USTA) to turn tennis data into engaging fan insights through AI and automation. Artificial intelligence (AI) increasingly influences people’s understanding of data, whether we are a CTO making decisions at an enterprise level or a tennis fan deciding which match to watch.

Statistics 107

Statistics Unstructured Data Machine Learning Consulting 107

TDAN

AUGUST 16, 2022

“In God we trust. All others must bring data.” — W. Edwards Deming The transformation of industry and society is leading to the proliferation of “digital twins”— i.e., virtual representations of physical objects. As this technology impacts more of our day-to-day life, it becomes increasingly important to trust the data that lies at the heart […].

Internet of Things 52

Internet of Things Technology Digital Transformation IT 52

Alation

AUGUST 16, 2022

This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. This report underscores the growing need at enterprises for a catalog to drive key use cases, including self-service BI , data governance , and cloud data migration. To arrive at a score, the writers reviewed product capabilities and strategy, combined with interviews with confirmed vendor customers.

Data Quality 52

Data Quality Data Governance Metadata Reporting 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

Smarten

AUGUST 16, 2022

With the Right Augmented Analytics You Can Satisfy Business Users and Data Scientists! The renowned technology research organization, Gartner, states that ‘30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.’ To achieve these goals, businesses must provide analytics and tools that are suitable for business users, and for data scientists and business analysts and all othe

Analytics 76

Analytics Optimization Dashboards Enterprise 76

Jet Global

AUGUST 16, 2022

The last few years have seen major changes in nearly every aspect of business as we know it. Executives across industries have been confronted with the need to vastly adapt the way they do business. In many cases, shifts in customer behavior and overall economic conditions were so drastic that even the most well-prepared organizations were left scrambling.

Reporting 52

Reporting Management Finance Forecasting 52

Jet Global

AUGUST 16, 2022

The last few years have seen major changes in nearly every aspect of business as we know it. Executives across industries have been confronted with the need to vastly adapt the way they do business. In many cases, shifts in customer behavior and overall economic conditions were so drastic that even the most well-prepared organizations were left scrambling.

Reporting 52

Reporting Management Finance Forecasting 52