Sat.Oct 24, 2020 - Fri.Oct 30, 2020

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Why Collaboration Matters in Analytic Processes

David Menninger's Analyst Perspectives

Every organization performing analytics with multiple employees needs to collaborate. They should be collaborating in the analytics process and in communicating the results of those analyses. As I continue my evaluation of analytics and data vendors , I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide.

Analytics 169
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Data security vs usability: you can have it all

Cloudera

Growing up, were you ever told you can’t have it all? That you can’t eat all the snacks in one sitting? That you can’t watch the complete Back to the Future trilogy as well as study for your science exam in one evening? Over time, we learn to set priorities, make a decision for one thing over the other, and compromise. Just like when it comes to data access in business.

IT 123
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Predicting Stock Prices using Reinforcement Learning (with Python Code!)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The share price of HDFC Bank is going up. It’s on. The post Predicting Stock Prices using Reinforcement Learning (with Python Code!) appeared first on Analytics Vidhya.

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4 Incredible Benefits Of IoT-Based Indoor Mapping

Smart Data Collective

The IoT is becoming increasingly commercialized. IDC estimates that there will be 41.6 billion IoT devices online by 2025. As the IoT continues to expand, companies across the world are looking for new ways to embrace its potential. One of the most overlooked benefits of the IoT is with indoor mapping. Companies can find a number of useful IoT approaches to achieve this goal.

IoT 144
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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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Predictions 2021: Blockchain Is A Tale Of Two Speeds

Martha Bennett

In 2021, Forrester predicts 30% of blockchain projects will make it into production with the majority of those run on enterprise platforms. Find out more in our 2021 blockchain predictions.

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Nhung Ho – Data Science in a Cloud World

Data Science 101

This is a great talk for data scientists and managers of technology teams. If you do data science in 2020 or beyond, there is a good chance the cloud will be involved. Topics covered: Lessons learned when migrating data science (or technology in general) to the cloud AI services available via different cloud providers Workflows in the cloud and more.

More Trending

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Has Machine Learning Made Cryptocurrencies Traceable?

Smart Data Collective

Machine learning has become a major game changer for the cryptocurrency industry. Most of the benefits are machine learning have been positive for the market. Machine learning is being used to predict price patterns more easily. However, some of these changes are not as welcome. Machine learning is making cryptocurrencies easier to trace. Since their inception, cryptocurrencies have gained popularity in several parts of the world.

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Women at work: a continuous state of evolution

Cloudera

Being a woman in tech can be incredibly rewarding, lonely, frustrating and inspiring all at once. Each individual has their own experience and path that they’ve followed to get where they are. That is, after all, what makes us unique. Earlier this week Cindy Maike, VP Industry Solutions, hosted a panel discussion with women across the Cloudera EMEA business, working in a variety of different roles; each of us with diverse backgrounds and perspectives, which made for a wide-ranging discussion. .

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What Type of Architect Are You Looking For?

Dataiku

Data architecture is a pivotal element of Enterprise AI. According to Gartner , “Data architecture is returning with vengeance as recent cloud practices have begun to encounter the systems design, data management, and application portfolio issues reminiscent of the 1990s. Data will be even more distributed, increasing the demand for a central governing authority within the office of the chief data officer.

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Sweet, spicy, North or South? : Indian Cuisine Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Food brings people together, on many different levels! From ‘Chole Bhature’ The post Sweet, spicy, North or South? : Indian Cuisine Analysis appeared first on Analytics Vidhya.

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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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What Does Data Archiving Bring To Healthcare Intelligence?

Smart Data Collective

Healthcare organizations house enormous amounts of data – amounts that have been multiplied many times over since the widespread adoption of electronic health records (EHR) systems over the last decade. What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired.

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Business Continuity Planning to Overcome COVID-19 Challenges

InsightOut

A systematic approach to business continuity planning can turn your pandemic response into a robust template for the future and can be made possible through the use of data and predictive analytics. We explore how you can leverage business continuity planning in the context of a global pandemic.

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Rediscovering Semi-Supervised Learning

Dataiku

Many new machine learning projects start with a minimal amount of sampled data, if any. Even worse, they tend to fail to take advantage of the “hidden gem” that is unlabeled data by focusing on the obvious, labeled data. A potential solution is semi-supervised learning (SSL), which uses both labeled and unlabeled samples to perform prediction.

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Beginners Guide to Web Scraping Using Selenium in Python!

Analytics Vidhya

Introduction By 2025, the world’s data will grow to 175 Zettabytes – IDC The overall amount of data is growing and so is the. The post Beginners Guide to Web Scraping Using Selenium in Python! appeared first on Analytics Vidhya.

Analytics 368
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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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Does Your Organization Process Data? 4 Critical Cybersecurity Measures You Need

Smart Data Collective

With a mountain of existing data privacy regulations and more on the way, it’s more critical than ever to implement strict cybersecurity strategies. If you process data of any kind – even if you only collect email addresses – you need strong cybersecurity measures. Protecting your data is the only way to avoid serious consequences for your customers and your business.

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Why Data Will Power the Self-Driving Car Revolution

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. Over the years, some bold predictions have been made about the impact autonomous vehicles (AVs) will have on our daily lives.

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Why Veterans at Cloudera are Urging Us to Vote

Cloudera

With both the US election and Veterans Day right around the corner, veterans at Cloudera have been telling us their stories, including why they want us all to Make Time to Vote. . The US has a long and evolving history with voting. Across generations, people have fought to gain and improve voting rights for all Americans, and in return, are honored for their sacrifices by having those rights be performed and visions fulfilled.

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A Definitive Guide for predicting Customer Lifetime Value (CLV)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The world of business has completely changed and revolves around its. The post A Definitive Guide for predicting Customer Lifetime Value (CLV) appeared first on Analytics Vidhya.

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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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Has Power BI become the new C/SIDE?

Jet Global

The Microsoft technology stack incorporates an impressive array of different technologies. Power BI is becoming an important component of that stack, but partners should think carefully before making major IP investments that create long term technical debt the partner has to service. Dynamics partners may be tempted to build their own reporting solutions around Power BI, but they should fully explore the long-term implications of such a decision.

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Creating a Data-Driven Workforce with Blended Learning

DataCamp

Bloomberg’s Global Data Technical Trainer, Sheil Naik, breaks down how a blended learning environment can catalyze a data-driven workforce.

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How to Develop the Essential Data Architecture for Your Digital Transformation Strategy

TreehouseTechGroup

As digital technologies are dramatically reshaping consumer behavior, markets, and enterprises, CXOs must focus on occupying leadership positions or catching up with competition. The ability to deploy cutting edge technologies fast to deliver products and services in ways that were not possible before has become a business imperative. On the other hand, any business that does… The post How to Develop the Essential Data Architecture for Your Digital Transformation Strategy appeared first on

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What is the Convolutional Neural Network Architecture?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Working on a Project on image recognition or Object Detection but. The post What is the Convolutional Neural Network Architecture? appeared first on Analytics Vidhya.

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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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Listening to the Customer in the 21st Century: It’s All About Data

Cloudera

The customer has never been more right. Across industries, customers have become conditioned to demand not only near-instant responses to their needs but that their needs be anticipated in advance. Financial institutions are not given a pass, despite a competitive landscape flooded with regulation and privacy considerations. The customer still has expectations for a personalized, timely, and relevant experience.

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Beware the 80% Trap: Avoid the “Big Bucket o’ Rules” Approach to BRMS

Decision Management Solutions

By James Taylor, Founder and CEO, Decision Management Solutions. One of the classic tools for decision automation is a business rules management system, or BRMS. While these systems are powerful and effective when used correctly, many companies fail to apply best practices when using them. Here’s one of our favorite horror stories about a well-intentioned BRMS implementation gone awry.

ROI 72
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Meet Harizo, Director of Tech Enablement at Dataiku

Dataiku

Ever wanted to know more about the people behind your favorite Enterprise AI platform? You're in luck — every few weeks, meet one of the humans at Dataiku working every day to ensure customers and users find success on their path to Enterprise AI. This week, meet Harizo Rajaona , Director of Tech Enablement!

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A comprehensive guide to Feature Selection using Wrapper methods in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s era of Big data and IoT, we are easily. The post A comprehensive guide to Feature Selection using Wrapper methods in Python appeared first on Analytics Vidhya.

IoT 398
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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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Log Reduction Techniques with CFM

Cloudera

Cloudera services logs offer a breadth of information to assist in cluster maintenance; from assisting in security checks, auditing tasks, and validation for performance tuning and testing tasks – to name a few. . However, log records generated by these services do not hold the same value for every organisation. For example Cyber teams may find more value in logs that outline user behaviour when accessing the data, whilst operational teams may prefer logs that show the spikes in load time throug

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Leveraging the power of Infrastructure as Code & Airflow for testing

Insight

One-Click Ephemeral Test Environment Continue reading on Insight ».

Testing 105
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Survey: Enterprise Data More Important Than Ever Since Onset of COVID-19

Teradata

Our new global survey reveals how business leaders are changing the way they think about about data -- from their trust in to to the role it plays in a post-pandemic recovery.

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Time Series Forecasting using Facebook Prophet library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data associated with the time that is dependent on time-related. The post Time Series Forecasting using Facebook Prophet library in Python appeared first on Analytics Vidhya.

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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.