Thu.Dec 16, 2021

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Cloud ML In Perspective: Surprises of 2021, Projections for 2022

KDnuggets

Let’s take a closer look on Cloud ML market in 2021 in retrospective (with occasional drills into realities of 2020, too). Read this in-depth analysis.

Marketing 137
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Understanding Data Restoration Options for Disaster Management

Smart Data Collective

Customers around the world are expected to spend over $11 billion on data recovery tools next year. One of the reasons that the market for these services is growing so much is due to the growing range of disasters causing data loss. Disasters can cause all kinds of long-term problems for countless organizations. One of the biggest issues that a natural disaster or workplace tragedy can lead to is data loss.

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How I 14Xed my salary in 14 years as a data analytics/science professional

KDnuggets

Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies.

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Let’s Talk About Data Visualization! Featuring Tableau’s Director of Data Science & ML

Dataiku

In this episode of the Banana Data Podcast, our hosts are joined by Nathan Mannheimer (Director of Data Science and ML at Tableau) as they unriddle the value of data visualization, explore what can go right and what can go wrong, and search for an answer to inquiries surrounding the future of data visualization.

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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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Top Resources for Learning Statistics for Data Science

KDnuggets

Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning.

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Your Assumptions for 2022 and Scenario Planning

Andrew White

What are the assumptions you use to frame your plans for 2022? Last year I asked the same question heading into 2021. That was a tough year since we had just come off 2020 with Covid turning the world upside down. Of course, any assumptions about 2020 in 2019 were blown out of the water. But here is what I said in January of 2021 looking ahead with the actual result: GDP/Growth: USA likely to reach 3-4% annually by end of year.

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How To Overcome Hybrid Cloud Migration Roadblocks

Cloudera

About the report. The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. Organizations were evaluated based on their current use of data and analytics, parties championing the use of data and the extent to which data is used across processes, the presence of enterprise data strategies, and the extent to which capabilities relating to

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Top 2021 Stories: We Don’t Need Data Scientists, We Need Data Engineers; A Guide On How To Become A Data Scientist (Step By Step Approach); How I Tripled My Income With Data Science in 18 Months

KDnuggets

Most viewed KDnuggets stories in 2021 focused on Data Scientists vs Data Engineers; How to become a Data Scientist; Increase income with Data Science; Stunning visualizations using python; and more.

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Weaving Architectural Patterns III – Data Mesh

Data Virtualization

Reading Time: 4 minutes Software systems designers often structure their thinking around the underlying functional and data/information components of their desired applications. This approach—analogous to the scientific method of breaking a system into its smallest sub-parts in order to understand how it works—forms the. The post Weaving Architectural Patterns III – Data Mesh appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Informati

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Best Microsoft Power BI Alternatives: a Detailed Comparison

FineReport

Power BI, from Microsoft, is a highly-rated business intelligence software. Power BI is mainly used by enterprises and analysts as a helpful instrument to find answers through data for questions raised. If you are considering learning or using PowerBI, welcome to read this post. Here I will conduct a detailed evaluation of Power BI, mention its advantages and disadvantages, and introduce some alternatives to Power BI (useful for Mac users or those with tight budgets).

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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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Weaving Architectural Patterns III – Data Mesh

Data Virtualization

Reading Time: 4 minutes Software systems designers often structure their thinking around the underlying functional and data/information components of their desired applications. This approach—analogous to the scientific method of breaking a system into its smallest sub-parts in order to understand how it works—forms the. The post Weaving Architectural Patterns III – Data Mesh appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Informati

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Driving Superior CX and Improved revenues with Personalization for a Fintech Company

bridgei2i

Case study: Driving Superior CX and Improved revenues with Personalization for a Fintech Company. Business Context. The BFSI segment in India is a highly competitive one with a large number of banking and non-banking financial institutions. Our client was faced with low product penetration resulting in almost zero growth in the existing customer base.

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Introducing the Next Generation of Text AI for AI Cloud Platform

DataRobot

Taking Text AI to the Next Level. An estimated 80% of all organizational information is held in text. While it is easy to accumulate text data, it can be extremely difficult to analyze text due to the ambiguity of human language. It is precisely because of the large volume and complexities of navigating unstructured data that DataRobot has focused on assisting our users to unlock insights from text.

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AI-Powered CX Transformation for a Global Contact Center Solutions Provider

bridgei2i

Case study: AI-Powered CX Transformation for a Global Contact Center Solutions Provider. Business Context. The client is a global leader in contact center and BPO solutions with a strong presence in over 146 onshore, nearshore, and offshore centers, serving 70 countries across the world. They improve overall operational efficiencies and gain better customer insights to deliver superior CX.

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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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The Evolving Role of Analytics in Supply Chain Security

Smart Data Collective

Analytics technology has become fundamental to many aspects of organizational management. Some of the benefits of analytics actually have crossover with each other. For example, more companies than ever are using analytics to bolster their security. They are also using data analytics tools to help streamline many logistical processes and make sure supply chains operate more efficiently.

Analytics 124
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Automating Building Plans & Compliance Review Processes with AI

bridgei2i

Case study: Automating Building Plans & Compliance Review Processes with AI. Business Context. The client is a US-based engineering and consulting firm focused on community development. They are involved in compliance checks for plan reviews that are done by a team of specialists. They wanted to reduce the dependence on manual effort and evaluate if AI could reimagine the entire process to cope with the surging demand and expand their services to more states across the US.

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Data Scientist Spotlight: Belén Sánchez

DataRobot

DataRobot is home to a treasure trove of Data Scientists. We’ve started a series called “Data Scientist Spotlight” as a way to meet the people behind the technology and introduce you to our great team. Introducing Belén Sánchez. Belén works on accelerating AI adoption in enterprises in the United States and in Latin America and contributes to the design and development of AI solutions for customers in the retail, education and healthcare industries. 1.

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Reimagining Catastrophe Underwriting with AI for a Fortune 500 Commercial Insurance leader

bridgei2i

Case study: Reimagining Catastrophe Underwriting with AI for a Fortune 500 Commercial Insurance leader. Business Context. The client is a Fortune 500 commercial insurer dealing in traditional and specialty insurance products, industry-leading claims, and risk engineering services. The global catastrophe risk modeling and the underwriting process can be extremely complex and time-consuming. – resulting in bad customer experiences and overworked employees.

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Driving Business Impact for PMs

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.

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Why Self-Service Analytics Adoption Is Persistently Low? Hint: ?

Juice Analytics

Low user adoption for data solutions is the problem that won’t go away. It is the… …sticky-wicket of Cricket …‘Transformers’ of Sci-Fi movies …barnacle of boats …‘Two and a Half Men’ of TV The data and analytics industry has struggled for decades to get more people in organizations to use the data. Re-labeling it “data democratization” didn’t fix it.

Analytics 136
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A Deeper Look: DataRobot Core for Expert Data Scientists and 7.3 Release

DataRobot

December closes out an incredible year of innovation at DataRobot. From the introduction of AI Cloud and our new solutions for major industries , to bringing hundreds of new features and capabilities online for our customers and integrating multiple new technologies and teams, to reaching an almost unimaginable milestone of over one million active AI projects for our customers, this has been a breakthrough year by all definitions.