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

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?

Why You (Probably) Don’t Need AI

DataFloq

A new study has found that 88% of brands are now using AI. And yet, 55% are disappointed with the results of their investment. As underwhelming as this satisfaction statistic may be, it doesn’t necessarily mean that AI technology itself is at fault. Rather, misguided adoption of AI is more likely to drive disappointment. The plain fact is that implementing AI is often the workplace equivalent to using a cannon to kill a mosquito.

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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.

Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code)

Analytics Vidhya

Overview We look at the latest state-of-the-art NLP library in this article called PyTorch-Transformers We will also implement PyTorch-Transformers in Python using popular NLP.

Gartner Report - Introducing DataOps Into Your Data Management Discipline

Data teams are increasingly under pressure to deliver data to support a range of consumers and use cases. DataOps techniques can address the data delivery challenges through a more agile and collaborative approach to building and managing data pipelines.

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.

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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.

IT 195

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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.

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”.

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. CCO Melbourne CCO New Zealand CCO CCO Sydney 2019

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Stewart’s of Scotland concentrates on profitability with Phocas

Phocas

Phocas data analytics is exhibiting at the UBT Trade Expo 2019 in Warwick this week. This three-day event is for UK business leaders, and you can meet the Phocas team at stand #10.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

Heroes of Machine Learning – Top Experts and Researchers you should follow

Analytics Vidhya

Overview The path to democratizing machine learning has been blazed by experts and researchers determined to make the world a better place We celebrate. The post Heroes of Machine Learning – Top Experts and Researchers you should follow appeared first on Analytics Vidhya. Career Machine Learning deep learning researchers heroes of deep learning heroes of machine learning machine learning experts machine learning researchers top ML experts

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.

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.

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The future of e-commerce for growing businesses

Phocas

Whether you work for a retail, distribution or manufacturing organization, selling more product at the highest profit margin is a constant goal.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

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. NLP Python convert speech to text speech recognition speech recognition model Speech to text speech to text model

Is the 4th Industrial Revolution Underway?

DataFloq

In 1965, the American engineer Gordon Moore predicted that the number of transistors per silicon chip would double every year. This observation, called Moore’s law, underpinned long-term planning strategies and shaped our ideas of the future for several decades.

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.

Why not investing in business intelligence is killing your sales

Phocas

In the age of data, choosing not to invest in a quality business intelligence (BI) solution can mean your sales team are losing market share to your competitors. Job Role - Sales

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The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

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. NLP Python data science gensim get started with NLP keras Natural language processing NLTK RegEx spaCy text preprocessing tokenization

The Role of AI in Data Security

DataFloq

Artificial Intelligence (AI) is considered by many to be the present and future of the tech industry. Many industry leaders use AI for various applications to provide valuable services and prepare their businesses for the future. .

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.

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.

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How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

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.

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How to Ensure Your Privacy in a Data-Driven Future

DataFloq

There is a downside to the abundant presence of data in today’s society. Today’s tech giants such as Google, Amazon, Facebook, Microsoft, Tencent and Alibaba have long recognised that data is a valuable asset.

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.

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.

The Rise of Embedded Self-Service Analytics

Speaker: Chris Von Simson & Nat Venkataraman

Can your users get the data and analytics they need without leaving your application? Watch this webinar with Chris von Simson of Dresner Advisory Services as he shares why user enablement has emerged as the theme in today’s embedded analytics landscape.

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy?

DataOps and Data Science

Tamr

There is a lot of mental energy being put into the topic of FAIR data in the biopharma industry these days. For us here at Tamr, we think of the FAIR data movement in biopharma as very similar to the broader DataOps movement that is playing out across industry writ large.

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.

Delivering Data Security Across Your Organization

Sisense

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?

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?