Mon.Mar 28, 2022

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5 steps to minimum viable enterprise architecture

CIO Business Intelligence

At Vault Health, CTO Steve Shi begins enterprise architecture (EA) work with a site survey of the entire IT, application, system, and data infrastructure but restricts it to two weeks with one-hour interviews about each function. Customers, whether employees or those paying for a product or service must “love” the result of this minimum viable approach to EA, says Shi.

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How Data will Shape Metaverse?

Analytics Vidhya

Introduction The concept of a metaverse offers an inclusive digital world that empowers online interaction with other people or platforms. For instance, rather than just talking to someone over a voice call or through texting, you can use your digital avatars to take a walk with your friend while chatting or even have some coffee […]. The post How Data will Shape Metaverse?

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Top 13 Skills That Every Data Scientist Should Have

KDnuggets

Let me walk you through the top 13 data science skills that you should have to become a successful data scientist. Following this outline, you’ll have a great path of digestible steps to educate yourself and be prepared to apply for data scientist positions.

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Snowflake launches Retail Data Cloud

CIO Business Intelligence

After launching the Healthcare and Life Sciences Data Cloud Platform just a week ago, Snowflake has announced a Retail Data Cloud aimed at helping retail and consumer goods companies make the most of their data. With Snowflake’s proprietary cloud data warehouse at its heart, the Retail Data Cloud brings together Snowflake’s highly-scalable data warehousing, analytics and compliance tools, with access to third-party data sources and resources through a data marketplace, and various partner consul

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

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Pros and Cons of Having a Data-Driven eCommerce Business on Amazon

Smart Data Collective

There are many ways that you can use big data to create a profitable business. One of the smartest ways for entrepreneurs to utilize data is by creating an ecommerce business. You can run a profitable ecommerce business through Amazon. SellerApp author Dilip Vamanan wrote a great article on the merits of using data analytics as an Amazon seller. However, you might want to also consider other ecommerce platforms for your data-driven ecommerce business.

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HP gets intentional about contracting with Black IT providers

CIO Business Intelligence

HP CIO Ron Guerrier says the company’s commitment to diversity, equity, and inclusion is one of the factors that brought him to the company in September 2020. Even so, Guerrier believed that as its new CIO he could advance, even further, the company’s DEI efforts in the IT space, where Blacks in particular remain underrepresented. More specifically, Guerrier has set out to make his own IT department look more like society.

IT 98

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Data Science at the Command Line: The Free eBook

KDnuggets

If you are familiar with Python & R, then improve your current data science workflow by integrating Unix power tools.

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3 Data Mining Tips for Companies Trying to Understand their Customers

Smart Data Collective

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. The portion of companies with data-driven decision-making models increased from 14% to 34% between 2014 and 2021, as more companies recognize its importance.

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Web3 Isn’t Going To Fix The Shortcomings Of Today’s Web

Martha Bennett

Will Web3 deliver on its promise of allowing users to control their own data? Learn the three key tenets of the new vision.

IT 98
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Data Analytics Plays a Vital Role in Teacher Verification Software

Smart Data Collective

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Businesses can use it to optimize their performance. The type of data analytics best suited for a company is decided by its development stage and what type of brand and identity marketing it wishes to implement.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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.

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AI in Data Wrangling

Dataiku

Data scientists spend more than half of their time wrangling data. That’s down from about 70% 15 years ago but is still a lot and it is often cited as the least fun part of data science. However, it’s arguably the most important part. Now that everyone has XGBoost, TensorFlow, and low-cost public cloud infrastructure, the best way to improve a model is more data.

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Customer analytics: How to meet individual customer needs?

Aryng

“The goal as a company is to have customer service that is not just the best but legendary.” – Sam Walton Over the past 100 years, a lot had changed from when firm owners knew customers by their name, individual needs, and personal preferences. Customer Analytics used to happen in firm owners’ heads. Today, with […] The post Customer analytics: How to meet individual customer needs?

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DataRobot Joins the AWS ISV Workload Migration Program

DataRobot Blog

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case. The model can then be deployed, managed, monitored and automatically re-trained by the platform. As companies make the move to a cloud native architecture it is important to find appropriate workloads to move; Machine Learning is a great candidate to sta

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Player retention is a strategic imperative for Casinos

BizAcuity

Player lifetime value (LTV) is at the heart of casino economics. Everything else, well, is a game of chance, like the pandemic we are in. Player retention determines the financial health of the casino by impacting KPIs across GGR, NGR, bets-to-deposits, and more. Player retention, though important, should be pursued mindfully. Locking down the players might be an unsustainable pursuit.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Include Mobile BI in Your Augmented Analytics Requirements!

Smarten

What Are the Advantages of Mobile BI and Augmented Analytics? A recent report revealed that by, 2028, the Augmented Analytics market is projected to reach USD 46.26 billion at a CAGR of 24.30%. The business intelligence solution market has evolved into augmented analytics and these solutions designs have progressed to support average business users with simple solutions that combine sophisticated analytical techniques and algorithms with easy navigation, reporting and insight.