Thu.Apr 07, 2022

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Does Data Always Need to End Up in a Centralized Repository?

Data Virtualization

Reading Time: 3 minutes This is an age-old question, and one that has been asked many times over the years. As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations. The post Does Data Always Need to End Up in a Centralized Repository? appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Importance of Internships in Data Science

Analytics Vidhya

Introduction Internships and apprenticeships are two of the most popular methods of learning on the job and gaining crucial skills. The concept of an apprentice started dying out once masters of various sciences and crafts were replaced by employers. Eventually, internships took over from the 20th century as a standardised approach for gaining domain experience. […].

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Data Science Interview Guide – Part 1: The Structure

KDnuggets

According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

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SAP at 50: The software group is at a crossroads

CIO Business Intelligence

These days, the town of Walldorf is not really in the mood to celebrate — even though the managers of SAP, which is headquartered there, have every reason to do so. After all, the software giant can look back on 50 years of successful company history. On April 1, 1972, five former IBM employees — Claus Wellenreuther, Hans-Werner Hector, Klaus Tschira, Dietmar Hopp and Hasso Plattner — launched SAP Systemanalyse und Programmentwicklung GbR.

Software 113
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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Finding the Signal in the Noise: Talking Racing Strategy with McLaren Racing’s Randy Singh

DataRobot Blog

F1 is headed Down Under next week for the first time since 2019. The Australian Grand Prix – taking place in Melbourne’s Albert Park Circuit – will showcase a new track layout and will be a homecoming for Australia’s own, McLaren Racing driver Daniel Ricciardo. The track changes, which Ricciardo consulted on , are the first modifications since 1996 and are aimed at reducing lap times, increasing speeds, and bringing the cars closer together.

Strategy 105
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ERP Integration Benefits Data-Savvy eCommerce for Distribution Industry

Smart Data Collective

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. These benefits include the following: You can use data analytics to better understand the preferences of your users and provide personalized product recommendatio

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Accelerate Your Mission at Cloudera Government Forum ’22

Cloudera

As a public sector leader, you don’t need the value of data explained to you. You already understand its importance to your vital missions. . The challenge, rather, lies in locating data, streaming it, enriching it, and serving it, and then running analytics to maximize the value of the data that agencies already have — and the massive amount of new data generated every day from a wide variety of structured and unstructured sources.

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5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses

KDnuggets

Let's have a look at ways we can expand our data science knowledge that go beyond online courses.

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How to Make an AI Talent Factory

Dataiku

Twenty years ago, the product recommendations team at Amazon.com could hire as many data scientists as they wanted and hired Ph.D.’s in computer science, mathematics, and economics. Ten years later, a San Francisco-based startup that also did product recommendations raised $100 million in venture capital, served 600 million shoppers per month, but had difficulty hiring top data science talent since the best candidates were all going to Google and Facebook.

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Arabic chatbots make inroads in the Middle East

CIO Business Intelligence

Customers in the Middle East are becoming increasingly familiar with being greeted by friendly chatbots — virtual helpers that are available day or night for all kinds of burning questions. From Dubai’s sprawling malls to Cairo’s bustling hospitals, Arabic-speaking chatbots are streamlining the customer experience while offering lucrative growth opportunities to businesses that adopt them.

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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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Maximizing Gaming Returns and Minimizing Risk in a Post-Pandemic World

Nutanix

The last two years were a wakeup call for the gaming, hospitality and entertainment industry. Lockdowns and other pandemic-related disruptions saw casinos and hotels operating far below normal levels—or completely shuttered—and the vast majority of in-person events canceled.

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Digital banking boosts financial inclusion, new business models in Africa

CIO Business Intelligence

In early 2021, a wave of digital innovation in the African financial sector, born out of a response to the tight grip of the pandemic, fuelled services and applications that had the potential to really shake up the banking sector. Over the past year, that wave has continued to grow and swell, unleashing a flood of change and innovation. Banks, startups, and financial service providers across the continent have been announcing digital solutions designed for touchless and remote banking, unlocking

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What Are the Best Methods To Keep Online Data Safe?

Smart Data Collective

Although we’re only a few months into 2022, this year has already seen massive cyberattacks, huge ransomware payouts, and data breaches never witnessed before. On average, damages due to cyberattacks are growing by 15% per year, with a predicted total value of $10.5 trillion lost each year by 2025. Across the different formats of cybercrime, one continual contender is data breaches, with 60% of businesses that experience any form of data breach going out of business in the following six months.

Testing 125
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AI takes aim at employee turnover

CIO Business Intelligence

Employees are quitting jobs at record rates and companies are having a hard time luring them back. Exacerbating the problem is the fact that employees are now frequently working from home, making it harder for managers to identify employees who are unhappy. Plus, getting new hires up to speed is more challenging when they can’t attend in-person training sessions or shadow experienced employees.

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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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10 Important Ways Data Visualization Can Benefit Your Content Strategy

Smart Data Collective

Data visualization has become a major part of life for those looking to make use of the large swathes of data available in the modern world. As important as this data is, understanding and making use of that data is even more important. That’s where data visualization comes in. Data visualization is, to put it simply, converting hard data and lists of numbers or facts, into an easier to comprehend form.

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The CIO’s missing priority

CIO Business Intelligence

Want to survive as CIO? You need the right priorities. And for most CIOs, at this precise moment, your average CIO’s top 5 priorities are: Security. Security. Security. Security. Not to mention security. Notice what’s missing? If your answer is “everything is missing,” go to the head of the class. Security is, for today’s CIO, a two-edged blade. One sharp edge is underinvesting in security.

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Self-Serve Data Preparation Improves Results!

Smarten

Include Self-Serve Data Preparation in Your Augmented Analytics Solution ! Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever.