Sat.Oct 31, 2020 - Fri.Nov 06, 2020

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12 Essential Tips for People starting a Career in Data Science

Analytics Vidhya

Introduction Learning data science can be intimidating. Especially so, when you are just starting your journey. Which tool to learn – R or Python? The post 12 Essential Tips for People starting a Career in Data Science appeared first on Analytics Vidhya.

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Predictive vs. Prescriptive Analytics: What’s the Difference?

Dataiku

The bulk of an organization’s data science, machine learning, and AI conquests come down to improving decision-making capabilities. Teams may aim to achieve new levels of agility, expedite the time to insights, or refine the process leading up to the business value extraction so that it’s more efficient. When during this process, though, should data executives get either predictive or prescriptive?

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun.

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Cloudera’s Pivot to a Virtual Internship Program

Cloudera

Typically, running smooth and successful internship programs requires in-person interactions with high touchpoints. From onboarding and regular meetings to coffee chats and welcome events to meet the team – it takes a lot to integrate a new intern. They’re not only new to the organization but new to the workforce, after all. . Yet, with most tech companies going fully remote, Early Talent teams had to consider their options.

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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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Artificial Intelligence in Agriculture : Using Modern Day AI to Solve Traditional Farming Problems

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview Understand what is Artificial Intelligence Lifecycle of agriculture Challenges faced in. The post Artificial Intelligence in Agriculture : Using Modern Day AI to Solve Traditional Farming Problems appeared first on Analytics Vidhya.

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Building a Speaker Verification Model in Dataiku Using GPU-Accelerated Deep Neural Networks

Dataiku

Across multiple industries and use cases, voice fingerprinting is increasingly becoming a viable option for speaker verification. From ATM cardholder validation in financial services to patient identification for telemedicine, accessing sensitive medical records or sensitive treatments (e.g., chemo or radiotherapy) in healthcare, being able to securely authorize and authenticate people for various services has benefits both for the customer and the business.

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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

If your company is using Microsoft Dynamics AX, you’ll be aware of the company’s shift to Microsoft Dynamics 365 Finance and Supply Chain Management (D365 F&SCM). Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. It’s important to look beyond the surface, however, because there are some critical architectural changes that could dramatically affect how end-users get information out of the system.

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How Can You Build a Career in Data Science & Machine Learning?

Analytics Vidhya

Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? appeared first on Analytics Vidhya.

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Boost Business Growth With Data Analytics

TDAN

In today’s business environment, one misstep can mean the difference between growth, stagnation, or going under. Because of this, business owners are using every tool available to gain an edge against their competition. The best resource a company has is raw data, and their best tool is effectively analyzing that data for use to their […].

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5 Ways that Machine Learning Has Transformed Smart Cards

Smart Data Collective

Here at Smart Data Collective, we have talked about major changes that machine learning has created in the financial industry. While some changes have gotten a lot of publicity, others have been more subtle. The evolution of smart cards is one of the newest ways that machine learning and AI are impacting the future of finance. The market for smart cards will be worth $21.57 billion within the next three years.

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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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5 Things CFOs of Multinational Companies Need to Know About the OECD Transfer Pricing Guidelines

Jet Global

Although the most recent updates to the Organization for Economic Cooperation and Development (OECD) guidelines took place in 2017, some CFOs of multinational companies still don’t fully understand the implications of those changes, and how the changes affect transfer pricing at their companies. The learning curve has grown even steeper with the new business challenges created by the COVID-19 pandemic.

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A Primer on Getting Started with Data Science for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Data Scientist: the sexiest job of the 21st Century” “Data Science. The post A Primer on Getting Started with Data Science for Beginners appeared first on Analytics Vidhya.

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Forecasting and Scenario Analysis are Key for Business Planning

InsightOut

Pairing proper forecasting and scenario analysis with business continuity planning can ensure a comprehensive portrait of key business levers to pull in times of crisis.

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Data Analytics Help Safeguard Businesses From Online Scams

Smart Data Collective

Advances in big data are a double-edged sword in the fight against online scams and data breaches. The reason for this is that both cybersecurity professionals and cybercriminals are using data technology to their full advantage. Data Analytics is the First Line of Defense Against Online Criminals. CISO Mag reports that cybersecurity experts have found a number of benefits of using AI and other big data technology to prevent data breaches and scams.

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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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Treehouse Technology Group Named Top B2B Service Provider and Top Data Analytics Company by Clutch

TreehouseTechGroup

Treehouse Technology Group (TTG) is thrilled to announce that it has been recognized by Clutch as a top B2B service provider in New England and top 10 data analytics consultancy in Massachusetts. The B2B leaders ranking included over 100 companies across the region, including providers in the categories of custom software development, mobile app development, Read More.

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Methods in Python – A Key Concept of Object Oriented Programming

Analytics Vidhya

Overview Methods in Python are a crucial concept to understand as a programmer and a data science professional Here, we’ll talk about these different. The post Methods in Python – A Key Concept of Object Oriented Programming appeared first on Analytics Vidhya.

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Maturing Your People Analytics: Better Insights, Stronger Teams

Sisense

Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. HR departments around the world are embracing digital transformation to reshape business operations and address their future needs in an ever-evolving work world. Cloud-based Human Capital Management (HCM) platforms continue to grow expansively.

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Top 5 Things You Should Know About the AI-Driven Cyber-Attacks

Smart Data Collective

Big data technology may have brought many benefits to us. However, it has also created many challenges, such as malware threats. We previously talked about the dangers that AI has created with Modern Mac viruses. But there is another virus that you need to be aware of – the Zeus virus. This was brought on by dangerous advances in AI technology. Due to the current availability of advanced Internet technologies, you can purchase products or pay for services instantly and hassle-free.

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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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Top 3 Dataiku features for Transparent & Explainable AI

Dataiku

AI is growing exponentially, companies are leveraging this technology to automate internal processes, boost productivity, and increase staff and customer engagement. According to the recent ESI ThoughtLab report on Driving ROI through AI , 31% of AI leaders report increased revenue, 22% greater market share, 21% faster time-to-market, 19% creation of new business models, and 14% higher shareholder value.

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Create your Own Image Caption Generator using Keras!

Analytics Vidhya

Overview Understand how image caption generator works using the encoder-decoder Know how to create your own image caption generator using Keras Introduction Image. The post Create your Own Image Caption Generator using Keras! appeared first on Analytics Vidhya.

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6 Corporate Initiatives That Impact Your Business’s Tax Planning Strategy

Jet Global

Taxes are incredibly complicated for businesses big and small. For starters, every company has to be concerned about income taxes, employment taxes, sales taxes, local taxes, and more. As you scale and move into new states—and particularly new countries—the tax situation becomes even more complex, with more and more jurisdictions expecting you to write them checks.

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A Time Series Anomaly Detection Model for All Types of Time Series

Insight

My Journey to improve Lazy Lantern’s automated time series anomaly detection model Continue reading on Insight ».

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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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Coffee with Cloudera Partners: IBM

Cloudera

Featuring: Jerry Green, World Wide Open Source Sales and Strategy Leader at IBM. IBM and Cloudera joined forces to bring the best of both companies to enterprises seeking advanced data and AI solutions. Jerry Green, World Wide Open Source Sales and Strategy Leader at IBM, has been instrumental with the relationship since its inception. We wanted to probe deeper into the man, the myth, the legend, Jerry Green!

Sales 79
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Build Your Own Desktop Voice Assistant in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction How cool is it to build your own personal assistants like. The post Build Your Own Desktop Voice Assistant in Python appeared first on Analytics Vidhya.

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GPT-3 and the Next Generation of AI-Powered Services

DataCamp

How GPT-3 expands the world of possibilities for language tasks—and why it will pave the way for designers to prototype more easily, streamline work for data analysts, enable more robust research, and automate content generation.

IT 84
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Once Upon a Time in Financeland: How Storytelling Helps FP&A Succeed

Jedox

This week, Mohamed ElRouby and Anders Liu-Lindberg carry you away into Financeland, where they make a case for storytelling in Finance, and how it helps in succeeding as a business partner for all stakeholders. Stories. They’re what bind all of us together because everyone likes and can understand a good story. When we were kids and our parents had to calm us down after a long day or when going to bed, they would read us stories.

Sales 78
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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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When Your Dashboard Goes Blank – Who do you call?

Paul Blogs on BI

I currently drive an Alfa Romeo Stelvio and, like most vehicles today, it notifies me on the dashboard when it is due for a service. The service message popped up a few weeks ago so I went online to make an appointment. The website guided me through an easy to follow application to book my service but when it came to booking a time, it showed that there were no times available for any service advisor for the entire next year!

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How to Use Stacking to Choose the Best Possible Algorithm?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Best features + Best algorithm = Accurate Predictions . The post How to Use Stacking to Choose the Best Possible Algorithm? appeared first on Analytics Vidhya.

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Data Management 20/20: Building a Data Modeling Center of Excellence

TDAN

Data governance is considered an oversight activity for work pertaining to the creation and management of data. That is, what are the policies, procedures, roles, and accountability around data assets. Data management supports the development and maintenance of architectures, best practices, and procedures that manage the data life cycle of an organization.

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The Role of Analytics and BI in the Entertainment Industry

Smart Data Collective

Have you ever caught yourself thinking that no one understands you better than Netflix or YouTube? They just seem to get what you want and are always ready to deliver. The explanation for this impressive personalization lies in advanced data analytics mechanisms. The privacy concerns around big data are not empty words – BI does help business owners monetize your desires.

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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.