Sat.Jul 13, 2019 - Fri.Jul 19, 2019

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Can Machine Learning Help Us Avoid Common Email Marketing Mistakes?

Smart Data Collective

Machine learning is being used more extensively in email marketing. A couple months ago, Nathan Sykes of Curatti wrote an article on the benefits of machine learning and other big data tools for email marketing. But how many solutions can machine learning really offer? That will depend largely on the way it is integrated into the email marketing funnel.

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Why Data Visualization and Dashboards Matter

Dataiku

Data teams spend a majority of their time cleaning and wrangling data in order to extract valuable business insights. The numbers should speak for themselves, so oftentimes data visualization and dashboarding is an afterthought at best or a distraction at worst. But the importance of visualization comes back to communication, and is an integral part of the business value in a model.

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Learn how to Build your own Speech-to-Text Model (using Python)

Analytics Vidhya

Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP. The post Learn how to Build your own Speech-to-Text Model (using Python) appeared first on Analytics Vidhya.

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Waterfall to Agile: A Necessary Mindset Shift For Business Analysts

BA Learnings

I tend to describe the agile approach as a way of working; A targeted way of working that allows us to make changes, respond to customers’ needs and manage uncertainty with minimal delays, and without needing to wade through “red tape”. Agile manifesto encourages: - Customer collaboration over contract negotiation - Individuals and interactions over processes and tools - Responding to change over following a plan - Working software over full documentation This does not however imply that the agi

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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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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. Moreover, within just five years, the number of smart connected devices in the world will amount to more than 22 billion – all of which will produce colossal sets of collectible, curatable, and analyzable data, claimed IoT Analytics in their industry report.

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Understanding the Value of Good Customer Experience (Gateway Bank)

Corinium

It’s now clear that all parts of your business need to be CX focussed – not just the front office. Gateway Bank is an example of a company so obsessed with customer centricity that they recently promoted their CCO, Lexi Airey, to the top job – CEO. The organisation realised that the back office could have just as much impact on the lives of customers, if not more, than front office.

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Acquiring and sharing high-quality data

O'Reilly on Data

The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data. In this episode of the Data Show , I spoke with Roger Chen, co-founder and CEO of Computable Labs , a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016.

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Too Big for Excel? An Alternative for Analysis

Dataiku

Big data. The term means many things to many people. The best definition I've heard is data that won't fit on your laptop. With 1 terabyte hard drives available by "fit" I mean it's too big to process on your laptop. A top-of-the-line MacBook pro packing a quad-core processor and 16GB of RAM can analyze a lot of data, however it's easy to surpass even those mighty specs.

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Ethics of AI

Corinium

We’re just at the starting line of AI and already CDAOs are grappling with ethical dilemmas that create risk at all organisational levels. Poor AI governance can lead to significant reputational, market and financial risk. CDAOs will need to educate and work with boards and senior executives to develop new governance methods in a rapidly expanding risk universe.

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The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life

Analytics Vidhya

Overview We are the in middle of a golden age of machine learning applications Here’s a comprehensive list of popular and common machine learning. The post The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life appeared first on Analytics Vidhya.

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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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The Inflated Role of Storytelling

Perceptual Edge

People increasingly claim that the best and perhaps only way to convince someone of something involves telling them a story. In his new book Ruined By Design —a book that I largely agree with and fully appreciate—designer Mike Monteiro says that “If you’re not persuading people, you’re not telling a good enough story.” Furthermore, “…while you should absolutely include the data in your approach, recognize that when you get to the point where you’re trying to persuade someone…, you need a story.

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Churn Prediction or How AI Will Become Your Marketing Team's Best Friend

Dataiku

To compete and stay relevant in a rapidly changing world, businesses need to embrace the idea of using data and AI for their marketing activities. This also means a changing dynamic in the activities and skills that marketers will need to have and to execute in order to implement marketing AI solutions. But it doesn't mean all marketers need to become data scientists overnight or vice versa - instead, the focus should be on collaboration.

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The Satisfied Customer - 3 technology trends to get you there

Corinium

The Zendesk Customer Experience Trends Report 2019 found that customer expectations are 46 percent higher than. last year, and 59 percent of agents report that customers’ expectations have risen in the last year.4 Whatever way you look at it, customers want more. But companies are not delivering. Three key technology trends have helped international companies in the Asia Pacific step up and meet the challenge head on.

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How to Get Started with NLP – 6 Unique Methods to Perform Tokenization

Analytics Vidhya

Overview Looking to get started with Natural Language Processing (NLP)? Here’s the perfect first step Learn how to perform tokenization – a key aspect. The post How to Get Started with NLP – 6 Unique Methods to Perform Tokenization appeared first on Analytics Vidhya.

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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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The Impact Of Artificial Intelligence In Web Design

Smart Data Collective

When Alan Turing invented the first intelligent machine , few could have predicted that the advanced technology would become as widespread and ubiquitous as it is today. Since then, companies have adopted AI for pretty much everything , from self-driving cars to medical technology to banking. We live in the age of big data, an age in which we use machines to collect and analyze massive amounts of data in a way that humans couldn’t do on their own.

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How to deliver a scalable AI pilot in just 8 weeks

IBM Big Data Hub

In business, aspiring to world-class is not enough when your competitors are already there. About half of the companies listed on the S&P 500 will be replaced over the next 10 years. Compared to the past, what’s unique abou t the disruption happening today is the rapid pace of change. During past revolutions, businesses had many years – even decades – to adapt.

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Understanding the Value of Good Customer Experience (Landing Page)

Corinium

Tell us a bit about your background and how you ended up in your current role.

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AI Simplified: Machine Learning Problem Types

DataRobot

“The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we see today in the field of artificial intelligence (AI) and Big Data.” ( Forbes ) Organizations around the world are leveraging this explosion of data to solve some of their biggest business problems.

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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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AI Is Reaching New Milestones In Senior Care In 2019

Smart Data Collective

The senior care industry is undergoing a massive transformation. The biggest trend that it is facing is the growing need for eldercare services. Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. Artificial intelligence is expected to meet the growing needs of the elderly care industry.

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Delivering Data Security Across Your Organization

Sisense

Blog. Quick question: does your company have data? Sorry, that one was probably too easy. How about this one: how much data does your company have? If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe?

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What is Data Lineage?

Octopai

Data has become the norm. It’s literally everywhere, but are we really able to fully understand what our data is telling us? Are we even seeing the whole picture? Probably not. Unless you’re using a tool that provides automated data lineage , the story you’re able to glean is, well, let’s just say incomplete. Why? Keep reading to find out. Let’s Define Data Lineage.

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How to Enjoy Hybrid Partitioning with Teradata Columnar

Teradata

Teradata Vantage's NewSQL Engine's performance-enhancing options include column-row hybrid partitioning. Find out how to take advantage of this great feature.

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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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Is Big Data the Saviour of the Aging Telecommunications Industry?

Smart Data Collective

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company. Big Data Leads to New Breakthroughs in Telecom Products.

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A Product Designer’s Tips For Impactful Dashboard Design

Sisense

Blog. If you Google “data visualization” or “dashboard design,” which is likely how you ended up reading this, you’ll probably find examples of beautiful widgets and dashboards that leave you wondering, “How can I make these for my business?”. You may not have the resources — like a full team of UI/UX designers — to dedicate to your dashboards, but there are some practical tips you can start with in order to make your widgets and dashboards nicer to look at and, more importantly, functional for

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Excel for Inventory Management is Risky

Jet Global

Almost every small business starting out relies on Microsoft Excel to manage separate business functions. It’s an excellent business tool that is free that everyone already knows how to use, so why not? When it comes to inventory management, spreadsheets can be used for everything from manually updating when shipments arrive and are shipped out, to determining what items are in stock, when to replenish, and how much to order.

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Join the app development competition aiming to save lives worldwide

IBM Big Data Hub

Last year, more than 100,000 developers from 156 nations built 2,500+ applications in Call for Code 2018, an IBM initiative to create meaningful change through technology. This year, it's your turn. Join Call for Code 2019 and you’ll have the opportunity to create sustainable software solutions that help people prepare and recover from natural disasters.

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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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Machine Learning Raises The ROI Of Instagram Business Accounts

Smart Data Collective

Instagram has been a leading pioneer in the world of big data. They have used complex machine learning and AI tools to solve a number of issues, such as predicting the images you will like and fighting cyberbullying. The benefits of these machine learning solutions are multi-tiered. They don’t just help users of the platform. Big data technology is also making the platform better for advertisers.

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Why Metadata Management Automation is Crucial to the Healthcare Industry

Octopai

Imagine you work in an industry that is unique among service industries: Nearly every decision regarding the provision of customer services can have catastrophic, even deadly, consequences for the customer. The customers, understandably, expect the service providers to make the correct decision 100% of the time, and to provide highest-quality services in a timely manner.

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How AI is Transforming Banks & Banking

Dataiku

Data has always been the foundation of the banking industry. What has changed in recent years, of course, is the amount of data available and the speed at which it is processed as well as the need to quickly respond to market changes.

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How Analytics Answer the Most Challenging Business Questions

Teradata

Analytics can help enterprises answer the toughest business questions by leveraging all of the data across an organization.

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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.