datapine

AUGUST 20, 2019

Businesses are going through a major change where business operations are becoming predominantly data-intensive. As per studies , more than 2.5 quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. to perform B2B operations.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Analytics Vidhya

AUGUST 21, 2019

Overview Effectively translating business requirements to a data-driven solution is key to the success of your data science project Hear from a data science. The post How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide appeared first on Analytics Vidhya.

Data Science 307

Data Science Data-driven Analytics 307

Corinium

AUGUST 21, 2019

Data overload is a growing problem for enterprise businesses. Analysis teams must often work manually to navigate seas of data and generate the specific insights their colleagues request.It can take multiple analysts weeks to gather, integrate and process the data they need. As a result, the insights they uncover may no longer useful by the time they’re generated.

Business Analysis 150

Business Analysis Enterprise 150

TDAN

AUGUST 20, 2019

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. The way that you go about this is up to you. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].

Data Governance 68

Data Governance Strategy Data Architecture IT 68

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

datapine

AUGUST 21, 2019

Billionaire Tilman Fertitta walks into the room. You can’t believe this heavyweight, the CEO and sole owner of multiple restaurant franchises, has given you the time of day. Tilman sits down, settles himself, and glances at the clock. “Well friend,” he says, “I have about three or four minutes before I have to get out of here. What do you wanna know?”.

Sales 235

Sales Dashboards KPI Visualization 235

Analytics Vidhya

AUGUST 19, 2019

Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics 307

KDnuggets

AUGUST 23, 2019

Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.

123

123

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

Analytics Vidhya

AUGUST 18, 2019

Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya.

Data Science 307

Data Science Analytics Machine Learning 307

Corinium

AUGUST 21, 2019

What does a new device, downloading of an app, signing up on a platform all have in common……the “accepting” of t’s & c’s. I, like many other unsuspecting individuals, blindly and unknowingly say “ok” to the t’s & c’s without fully understanding what they really mean or how my data will be used, let alone knowing the potential impact it could have on decisions I don’t make….

IT 150

IT Data Science 150

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

KDnuggets

AUGUST 20, 2019

Kaggle Learn is "Faster Data Science Education," featuring micro-courses covering an array of data skills for immediate application. Courses may be made with newcomers in mind, but the platform and its content is proving useful as a review for more seasoned practitioners as well.

Data Science 121

Data Science IT 121

DataCamp

AUGUST 23, 2019

Hugo Bowne-Anderson, data scientist and host of our podcast DataFramed, deconstructs the essential topics and skills that employees need to know to work with data.

Data Processing 96

Data Processing 96

Analytics Vidhya

AUGUST 20, 2019

Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the. The post NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python appeared first on Analytics Vidhya.

Analytics 260

Analytics 260

TDAN

AUGUST 20, 2019

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology that drives virtual currencies like Bitcoin. But its potential spans many more industries and use cases than just virtual currencies. But let’s back up for a minute. How does blockchain work?

Technology 101

Technology IT Data Architecture Data Strategy 101

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

KDnuggets

AUGUST 23, 2019

Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights.

IT 120

IT Data Science 120

Corinium

AUGUST 18, 2019

Technology 150

Technology 150

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

Smart Data Collective

AUGUST 21, 2019

Setting up a business is probably the most difficult part of every entrepreneur’s journey. It requires dedication, contemplation, a lot of effort, and a bit of foresight. Once you build it from the ground up, you should know that your work doesn’t stop there. On the contrary, the moment you start settling in, you need to do some thinking again. You might wonder why that is necessary.

Data Analytics 84

Data Analytics Analytics Marketing Sales 84

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IT

KDnuggets

AUGUST 23, 2019

Alibaba, the largest e-commerce platform in China, is a powerhouse not only when it comes to e-commerce, but also when it comes to recommender systems research. Their latest paper, Behaviour Sequence Transformer for E-commerce Recommendation in Alibaba, is yet another publication that pushes the state of the art in recommender systems.

IT 115

IT 115

Sisense

AUGUST 18, 2019

Blog. What is JSON? What are MongoDB and PostgreSQL? Constraints and Limitations Native JSON Data Stores Performance Use Cases and Factors. Have you ever tried to eat pasta with a spoon? It doesn’t work so well. With nothing to grip your fettuccine or your penne with, it slides all over the place. A fork, on (in?) the other hand, is obviously a million times better; you can spear and scarf your pasta as fast as you like.

Unstructured Data 81

Unstructured Data Data Processing Dashboards Testing 81

Bruno Aziza

AUGUST 18, 2019

Most people see their book consumption spike in the Summer. This is certainly true for me. I do my best to stay on top of the news daily by reading about the industry online and on paper (I know, so old fashioned!).

81

81

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

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Data-driven

KDnuggets

AUGUST 20, 2019

Explore how to determine if your time series data is generated by a stationary process and how to handle the necessary assumptions and potential interpretations of your result.

114

114

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

Bruno Aziza

AUGUST 18, 2019

Although CIO’s and CDO’s aspire to be on the offensive in using data to drive revenue generation and business growth, it is defensive initiatives that are providing cover for forward-looking transformation ambitions.

Data Transformation 77

Data Transformation IT 77

Smart Data Collective

AUGUST 21, 2019

Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making. Companies will place a greater emphasis on quantitative decision-making models than ever before, since new big data technology has made it more reliable.

Big Data 80

Big Data Modeling ROI Metrics 80

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

KDnuggets

AUGUST 21, 2019

This tutorial covers decision trees for classification also known as classification trees, including the anatomy of classification trees, how classification trees make predictions, using scikit-learn to make classification trees, and hyperparameter tuning.

110

110

John Wheeler

AUGUST 19, 2019

Gartner’s “Hype Cycle for Risk Management, 2019” report was published almost a month ago and reader response has been overwhelmingly positive. In this year’s report, we highlight the need for a “PRACtical” view of risk management technologies to fuel digital business growth. Hype Cycle for Risk Management, 2019 Source: Gartner.

Risk Management 73

Risk Management Risk Technology Management 73

Insight

AUGUST 20, 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. Data Engineering is a discipline notorious for being framework-driven and it is often hard for newcomers to find the right ones to learn. We at Insight offer a 7-week tuition-free Fellowship to help programmers transition to Data Engineering and have helped guide hundreds of Fellows overcome this exact hurdle.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

Smart Data Collective

AUGUST 21, 2019

Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement. Predictive analytics and machine learning can help give some more perspectives on how retirees live , which can help them forecast their financial needs in their Golden Years.

Big Data 77

Big Data Cost-Benefit Insurance Data-driven 77

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Strategy