Analytics Vidhya

JANUARY 18, 2023

Introduction We have internet access in every corner of the country. Almost all businesses around us, like manufacturing, retail, consultancy, etc., are trying to go digital and display themselves on the web to scale and increase sales. If you want to know anything about your surroundings, then the internet is the first choice we prefer. […]. The post Complete Guide to Ethereum Blockchain with Python appeared first on Analytics Vidhya.

Manufacturing 335

Manufacturing Consulting Sales Analytics 335

DataKitchen

JANUARY 18, 2023

While you’re admiring the latest cloud tech, don’t forget that humans have been debugging pipelines, at least since the Romans built the aqueducts. Any good plumber can give you some hard-won tips on managing data pipelines effectively, insights that might save your career from going down the drain. Your overalls are cleaner when you work on new construction. .

Testing 130

Testing Data-driven Risk Strategy 130

CIO Business Intelligence

JANUARY 18, 2023

CIOs supporting a hybrid mix of in-office and remote workers, and those who float between, need to implement new tools and strategies to get it right. But they will also need to change how they think about hybrid work, which analyst firm Forrester characterizes as “messy” even as it says 51% of organizations are moving in this direction. Hybrid work is often thought of in terms of location, according to a November Gartner report.

IT 144

IT Data-driven Interactive Strategy 144

KDnuggets

JANUARY 18, 2023

Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

Data Science 146

Data Science 146

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

CIO Business Intelligence

JANUARY 18, 2023

The employees you need may already be on your team but out of sight. Looking for existing staff with transferable skills, hidden skills, technical learnability, and hidden knowledge can bring these potential employees into focus. Transferable skills These are comprised of knowledge, experience, and abilities that make it easier to learn new skills. Within IT, this could mean finding workers to do programing, testing, cybersecurity, operations, project management, or other similar tasks.

Predictive Analytics 117

Predictive Analytics Machine Learning Big Data Testing 117

KDnuggets

JANUARY 18, 2023

We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

Machine Learning 146

Machine Learning 146

KDnuggets

JANUARY 18, 2023

7 Best Platforms to Practice SQL • Explainable AI: 10 Python Libraries for Demystifying Your Model's Decisions • ChatGPT: Everything You Need to Know • Data Lakes and SQL: A Match Made in Data Heaven • Google Data Analytics Certification Review for 2023

Data Lake 85

Data Lake Modeling Data Analytics Analytics 85

Dataiku

JANUARY 18, 2023

Unstable, uncertain, unpredictable: these are just three of the words that have become shorthands for the past three years in the global economy and world politics. Enterprises in the financial services and insurance (FSI) industry are very familiar with them — painfully so, in many cases. The global economic shock produced by the pandemic, followed by the disruptions to the supply chain caused by the war in Ukraine, have left many firms bracing for an uncertain near-term future and seeking to a

Insurance 81

Insurance Enterprise IT 81

KDnuggets

JANUARY 18, 2023

Learn about Gamma, Beta, and Bernoulli distributions with Python.

Data Science 110

Data Science 110

Teradata

JANUARY 18, 2023

GxPs are a set of guidelines used to reduce risk when dealing with tech suppliers. But guidelines are not certification tests. Learn what to consider when assessing reliability in the cloud.

Testing 64

Testing Risk 64

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Smarten

JANUARY 18, 2023

Include Citizen Data Scientists in Your Continuous Improvement Program and Make it Happen! If you have spent any time in the world of business, you have heard the term, ‘continuous improvement.’ As the name suggests, Continuous Improvement is meant to be ongoing. When an enterprise institutes a continuous improvement process, it does so with the intention of improving products, services, process efficiency and overall effectiveness, in order to improve and sustain competition.

Key Performance Indicator 52

Key Performance Indicator Prescriptive Analytics Business Objectives Measurement 52

Domino Data Lab

JANUARY 18, 2023

For the world of AI and model building, the famous motto, “Move fast and break things” by Facebook founder Mark Zuckerberg is a sure path to destruction. Stakes are now higher than ever for AI, and model-driven businesses must be careful to test and confirm the safety and fairness of technology touching nearly everyone’s life. How can stakeholders do this while simultaneously pressing business initiatives as quickly as possible?

Insurance 52

Insurance Data-driven Data Science Testing 52

Smarten

JANUARY 18, 2023

The client is one of the leading financial services groups in India. They offer Equity, Commodity, and Currency brokering services as well as depository participant services. The company is a member of NSE, BSE, MCXSX, USE; a depository participant (DP) with NSDL and CDSL; and AMFI-registered mutual fund distributor. This client services over one million customers through its extensive network spreading over 500 cities in India and key overseas locations.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Money laundering is a serious threat in the financial services industry and in the online gaming and casino industry.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

JANUARY 18, 2023

Table of Contents 1) What Is The Report Definition? 2) Top 14 Types Of Reports 3) What Does A Report Look Like? Businesses have been producing reports since, forever. No matter what role or industry you work in, chances are that you have been faced with the task of generating a tedious report to show your progress or performance. While reporting has been a common practice for many decades, the business world keeps evolving and, with more competitive industries, the need to generate fast and accu

Reporting 201

Reporting Metrics Dashboards Visualization 201

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged. It was Datawarehouse. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52