Sat.May 02, 2020 - Fri.May 08, 2020

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7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science

Analytics Vidhya

Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master the library. The post 7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science appeared first on Analytics Vidhya.

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Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

Data Lake 221
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The Difference Between Data Architecture and Enterprise Architecture

erwin

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty.

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COVID-19: Risk Analytics for Building an Early Warning System

Teradata

Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.

Risk 118
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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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6 Open Source Data Science Projects to Try at Home!

Analytics Vidhya

Overview Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya.

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Data Management 20/20: Data Governance Challenges in a Digital Society

TDAN

The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy. If service and results are substandard or wrong, the reputation of the company can more quickly than ever […].

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Introducing Teradata’s Incoming CEO Steve McMillan

Teradata

Teradata's Board of Directors has selected the company's next President and Chief Executive Officer: Steve McMillan. Read more from interim President and CEO, Vic Lund.

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Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow)

Analytics Vidhya

Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya.

Analytics 373
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Why Dashboard & Data Storytelling is vital for a Casino

BizAcuity

The business of land casinos. Over the past two decades, online casinos have evolved into one of the most lucrative businesses on the planet. This has also meant that land casinos need to relook at the way they increase their business to beat the competition of online gaming and casinos. Land casinos now, more than ever, need to focus on how to get customer footfall and how to get repeat customers.

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3 Jenis Laporan Yang Perlu Dipelajari Seorang Business Analyst

FineReport

Dalam kerjaan sehari-hari, ketika dihadapkan kepada pembuatan tabel atau grafik ataupun analisis data, Anda kemungkinan akan memilih Excel. Tapi saya juga melihat banyak orang yang kebingungan dalam rumitnya deep learning Excel dan ketidakefisiennya dalam memproses big data. Faktanya, seorang business analyst profesional harusnya mahir dalam menggunakan berbagai software pembuat laporan (Excel/ QlikView/ Tableau/ FineReport) dan juga mahir dalam membuat berbagai laporan yang berbeda.

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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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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 4: COVID-19 | Implications and Impact on Insurance Industry

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 4: COVID-19 | Implications and Impact on Insurance Industry. Listening time: 12 minutes. COVID-19 | Implications and Impact on Insurance Industry. In this episode, Anirban Chaudhury talks about how insurers the world over are grappling with new and unprecedented challenges to balance high financial losses, increasing new premiums, and rising claims.

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The Art of Storytelling in Analytics and Data Science | How to Create Data Stories?

Analytics Vidhya

Introduction The idea of storytelling is fascinating; to take an idea or an incident, and turn it into a story. It brings the idea. The post The Art of Storytelling in Analytics and Data Science | How to Create Data Stories? appeared first on Analytics Vidhya.

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Manage enterprise data at scale with IBM Cloud Pak for Data 3.0

IBM Big Data Hub

Data is the fuel, cloud is the vehicle, AI is the destination. The intersection of these three pillars of IT has been the focus of IBM. Through the launch of IBM Cloud Pak for Data , our modern data and AI platform, we have containerized numerous offerings and delivered them as microservices to accelerate client’s journey to AI. Clients have successfully been able to collect, organize and analyze data in order to infuse AI across their business – on any cloud of their choice.

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Grafik Dinamis: Gerakkan Data Anda

FineReport

Bagaimana Cara Kerja Grafik Dinamis? Dibuat Dengan FineReport. Gambar diatas adalah dashboard yang dibuat dengan FineReport yang memiliki grafik dinamis. Dengan mengklik posisi pie chart yang bersangkutan, Anda dapat menampilkan data di suatu area yang spesifik. Mari bandingkan data yang dipresentasikan dengan Excel. Apakah Anda rasa tampilannya nampak membosankan dan mati?

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Data Equals Truth, and Truth Matters

erwin

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. But the real challenges will be accelerating recovery and crisis-proofing your business to mitigate the impact of “the next big thing.”.

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All you Should Know About Datetime Variables in Python and Pandas

Analytics Vidhya

The Complex yet Powerful World of DateTime in Data Science I still remember coming across my first DateTime variable when I was learning Python. The post All you Should Know About Datetime Variables in Python and Pandas appeared first on Analytics Vidhya.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 3: COVID19 and Changing business landscape in Europe

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 3: COVID19 and Changing business landscape in Europe. Listening time: 12 minutes. COVID-19 and Changing business landscape in Europe. In this episode, Monideepa Bhattacharya discusses the impact of COVID19 on the business landscape in Europe. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering.

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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

Everything Changes. COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Every decision by every executive leader need information: What investments to furlough or delay, or accelerate? What initiatives to curtail, cancel or double down with?

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Analytics on the edge using IBM Cloud Pak for Data

IBM Big Data Hub

As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.

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Business Analytics Assessment Test Results

Analytics Vidhya

You Scored > 50 Basis your assessment score – we recommend you to join the “Certified Business Analytics program” and learn all about business. The post Business Analytics Assessment Test Results appeared first on Analytics Vidhya.

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The Path to Integrated Planning

Jedox

To successfully move from outdated spreadsheet workflows to using integrated financial planning, there are important considerations on this path. In our new two part blog series, we will discuss how the Office of Finance can embark on the path to successful integrated planning. Ensure senior management support. The recognition that old structures in FP&A must be revamped is of course old news, yet many organizations are still struggling with doing the needed revamp.

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Azure Data Sources for Data Science and Machine Learning

Jen Stirrup

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. If you prefer video, you can catch the video here. How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business.

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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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IBM Cloud Pak for Data enhances DataOps services to deliver business agility with cost savings and risk reduction

IBM Big Data Hub

Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to deliver trusted data quickly by creating trusted data pipelines between data sources and data users mapped to their critical business objectives.

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Measuring Bias in Machine Learning: The Statistical Bias Test

DataCamp

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.

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How to Centralize Your Data

TDAN

Many businesses keep their data in silos and employ analytics at a process or departmental level. Centralizing these data silos to create a data mart, warehouse, or lake gives organizations more visibility over operations and results in more accurate analytics that take a wider range of internal and external factors into consideration. Among other things, […].

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Building A World Class Genetics Center Based On Data Scalability

Bruno Aziza

How Regeneron is using Databricks to Build a Genetics Center at Scale.

Big Data 119
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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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Streamlining the AI model risk management process

IBM Big Data Hub

Many financial firms are increasing their use of AI models because they can represent the real world more accurately, and they can deliver better projections than traditional, rule-based models. But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services.

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Automotive Industry: Navigating Post-COVID-19

Teradata

As we entered 2020, the Automotive industry was facing several challenges. The current pandemic has taken an already difficult situation to another level. Learn how data analytics can help.

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Real-Time BI for Customer Retention

TDAN

Real-Time Business Intelligence (RTBI) lets users access the information that happened recently via a dashboard. The recent information can be an event that occurred a few milliseconds ago or before an hour. The latency of this data depends on the analytical purpose. For marketing, the latency must be of least value. Google Analytics is an […].

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CFO’s Guide to Financially Intelligent Cash Flow Management

Jet Global

Since the onset of the coronavirus crisis, businesses around the world are facing an unprecedented level of uncertainty. In a recent panel discussion of CFOs hosted by insightsoftware , liquidity emerged as the number one priority for C-suite finance leaders. As economic activity has slowed dramatically, many businesses report that sales have plummeted, collections have slowed, and cash flow has become increasingly difficult to predict.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.