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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How insurers can better deliver at “The Moment of Truth”

Cloudera

It’s all about the Customer. Customers today expect services to be highly personalized. In a digital world tuned to understand your likes, dislikes, interests and preferences we expect a similar level of customization in all aspects of our lives. Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important.

Insurance 115
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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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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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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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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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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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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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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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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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.

Risk 98
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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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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers.

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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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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 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.

ROI 85
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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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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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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 ».

Modeling 100
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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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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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How to Future-Proof Your Business Systems with a Data Warehouse

Jet Global

Planning for an ERP system implementation can be a daunting undertaking. With the release of Microsoft’s latest ERP product version for small and midsize businesses, many of the company’s legacy GP, NAV, and SL customers are likely beginning to consider a move to the new platform. Microsoft Dynamics 365 Business Central (D365 BC) is the next evolution of the Microsoft Dynamics NAV code base, extended to a more cloud-friendly platform and more fully integrated with the rest of the Microsoft stack

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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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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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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.