Wed.Oct 21, 2020

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What are the differences between Data Lake and Data Warehouse?

Analytics Vidhya

Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.

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Savvy Companies Find Brilliant Ways To Benefit From Inbound Call Data

Smart Data Collective

Countless companies recognize the growing importance of big data. However, many of them lack the insights needed to acquire and utilize data effectively. There are so many possible sources of data, but they don’t tap them to their full advantage. One of the most overlooked sources of data is from inbound calls. Companies are finding new ways to leverage call data to their full advantage.

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Perform Regression Analysis with PyTorch Seamlessly!

Analytics Vidhya

image courtesy Introduction This is probably the 1000th article that is going to talk about implementing regression analysis using PyTorch. so how is it. The post Perform Regression Analysis with PyTorch Seamlessly! appeared first on Analytics Vidhya.

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Sirius Breaks Top 50 on MSSP Alert’s Top 250 MSSPs List for 2020

CDW Research Hub

Sirius was recently named No. 44 on MSSP Alert’s list of the world’s Top 250 managed security service providers (MSSPs) for 2020. In Sirius’ first year participating in the MSSP Alert program, the company was recognized as a top 20% MSSP provider, further exemplifying how its proactive management solutions and services help enterprises mitigate security risks while improving overall operational efficiency and performance.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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Examining the Simple Linear Regression method for forecasting stock prices using Excel

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Even though there are myriad complex methods and systems aimed at. The post Examining the Simple Linear Regression method for forecasting stock prices using Excel appeared first on Analytics Vidhya.

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4 Data-Driven Approaches To Bolster Email Deliverability

Smart Data Collective

The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. One of the most important things that they should do is find data-driven approaches to enhance email deliverability.

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Everything is Big Data

TDAN

The term “big data” has been bandied about for a number of years now, and it has gotten to the point where it has been used so much that it is a part of IT culture. It’s hard to specifically define, yet everyone seems to have a good idea what is meant by it; big […].

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Best Practices for an AI Center of Excellence (CoE)

Dataiku

Facilitating the conception and operationalization of AI projects across the enterprise is a test, first in foremost, in orchestration. Sure, having the right technology helps, but even the right tools can’t enable people at all levels to use data and execute AI projects on a day-to-day basis without some serious organizational change management and process oversight.

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Building Data Models to Empower Self-Service Users

Sisense

Blog. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. One of the keys to a successful, modern company is equipping every worker with the tools, skills, and data they need to do their jobs better and make smarter decisions.

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Data Professional Introspective: EDM Education – Part 2 When & How

TDAN

In our last column, ‘EDM Education – Why, What & Who – Part 1,’ we addressed why EDM Education is needed, what learning objectives it should deliver, and who needs it. In this column, we’ll talk about when it is needed – creating a business case for EDM education, creating an education plan, associated metrics, […].

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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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Modern Architecture…Why is This so Difficult?

Teradata

There is a lot of debate about what Modern Architecture means & what it actually comprises. However, the two terms that come up the most often are: simplicity & flexibility.

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Keys to Successful Data Governance

TDAN

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 […].

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Data Virtualization in the Cloud

Data Virtualization

The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud. In this kind of a landscape, how can we gain insights.

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Our Top 20 Most-Read Data & Analytics Research Last Week (to Oct 18)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Julian Sun just scored his second “number 1” hit. His recent note, Composable Analytics Shapes the Future of Analytics Applications , just re-entered the top 20 most-read notes across all of data and analytics last week, excluding branded notes such as Magic Quadrants.

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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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Sunil Mudgal, Advisor – Talent Analytics, BRIDGEi2i Participates in NASSCOM Webinar on Modern Employee Experience

bridgei2i

Bangalore, 21 st October 2020. Sunil Mudgal, Advisor – Talent Analytics, BRIDGEi2i will be participating as a panelist in the webinar: Pivoting Towards Modern Employee Experience | The Digital Workplace Blueprint on 27th October, 2020. Scheduled to be held between 11 am and 12 pm, the webinar will touch upon various aspects of the pandemic’s impact on employee experience.

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Day in the Life of an Industry Analyst at Gartner’s (Virtual) IT Symposium Xpo 2020 – Day 2

Andrew White

Tuesday October 21 2020. 6.01am – Up and at it – walking dog – then getting breakfast, watch CNBC, read the newspaper and then get family up and out the door. 7.01am – At the desk cleaning up day 1 blog; did some HR work; prepared for 1-1’s today. Didn’t clear the inbox alas. Too many so falling behind. I hate that. 8.05am – Regular inquiry unrelated to IT Symposium due 8.15am.

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Report Builder Introduction, Tutorial, and Alternative

FineReport

Report Builder is a report creation tool provided by Microsoft. It supports developing build dashboards and paginated reports based on data from various data sources with less effort. It is suitable for business users who prefer to work in a stand-alone environment instead of using Report Designer in Visual Studio / SSDT. Today, this article will introduce the basic tutorials of Report Builder, its pros and cons.

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Modern Architecture and Analytics Need Each Other To Succeed

Teradata

Two major forces impacting IT are on a collision course: the desire for a “modern data architecture” and businesses' need for data analytics. Find out more.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The Use of Machine Learning in Predicting Sports Match Outcomes

MLWhiz

Out of all spheres of technological advancement, artificial intelligence has always attracted the most attention from the general public.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

Financial planning has always been vital to businesses in order to make sound, long-term decisions. Companies use forecasting to make critical investments, plan for covenant compliance, and even decide on future mergers and acquisitions (M&A) strategies. In the past few months, planning has changed – and it has changed dramatically. The way we perceive business risk, and how we manage it, is fundamentally different for every finance leader on the planet.