INDUSTRY INSIGHTS YOUR PEERS ARE READING
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. MORE
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. MORE
Introduction. We have expanded the dslabs package , which we previously introduced as a package containing realistic, interesting and approachable datasets that can be used in introductory data science courses. MORE
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 MORE
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 MORE
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. MORE
Flush with Big Data and an accelerated way to capitalize on it (AI), many large enterprises are making a classic mistake. They’re assuming that their data is good enough to leverage as an asset. It is not. . MORE
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”. MORE
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. MORE
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. MORE
The dust is settling. IBM now owns Red Hat. What will this mean for IBM’s ability to become a leader in the cloud market? Will market dynamics change with this acquisition or will things remain the same? Of course, no one knows precisely what will happen. MORE
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. . MORE
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. MORE
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. MORE
Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya. MORE
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. MORE
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. MORE
Whether you work for a retail, distribution or manufacturing organization, selling more product at the highest profit margin is a constant goal. MORE
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. MORE
The explosion of Big Data in healthcare can lead to information paralysis if the appropriate systems are not in place. MORE
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 MORE
Data is at the core of nearly every business that helps you understand and improve business processes. In this modern era ruled by data, AI is evolving into a significant driver that shapes the day-to-day business process and Business Intelligence decision making. MORE
Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. MORE
Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya. MORE
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 MORE
Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Adam Ronthal goes right into “number 1” with a new note that explores the evolving database market. MORE
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. MORE
A look at how guidelines from regulated industries can help shape your ML strategy. As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. MORE
Phocas has a new partnership with Acumatica, provider of an award-winning cloud-based ERP system, that will extend our data analytics solution to Acumatica customers globally. The new deal helps Acumatica customers turn raw data into insights. Company Updates MORE
Analytics Vidhya
JULY 21, 2019
Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will. The post Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation (with Python Code) appeared first on Analytics Vidhya.
Phocas
JULY 21, 2019
Phocas has a new partnership with Acumatica, provider of an award-winning cloud-based ERP system, that will extend our data analytics solution to Acumatica customers globally. The new deal helps Acumatica customers turn raw data into insights. Company Updates
Analytics Vidhya
JULY 18, 2019
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.
Simply Statistics
JULY 18, 2019
Introduction. We have expanded the dslabs package , which we previously introduced as a package containing realistic, interesting and approachable datasets that can be used in introductory data science courses.
Speaker: Nima Gardideh, CTO, Pearmill
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
Corinium
JULY 18, 2019
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
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
JULY 15, 2019
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.
DataFloq
JULY 21, 2019
The explosion of Big Data in healthcare can lead to information paralysis if the appropriate systems are not in place.
Corinium
JULY 16, 2019
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.
O'Reilly on Data
JULY 15, 2019
A look at how guidelines from regulated industries can help shape your ML strategy. As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed.
Speaker: Steve Johnson, VP of Products, Pragmatic Institute
Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.
Phocas
JULY 18, 2019
Whether you work for a retail, distribution or manufacturing organization, selling more product at the highest profit margin is a constant goal.
DataFloq
JULY 16, 2019
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. .
Corinium
JULY 15, 2019
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.
datapine
JULY 17, 2019
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate.
Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando
It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.
Phocas
JULY 16, 2019
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
Analytics Vidhya
JULY 17, 2019
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
DataFloq
JULY 19, 2019
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.
Tamr
JULY 22, 2019
Flush with Big Data and an accelerated way to capitalize on it (AI), many large enterprises are making a classic mistake. They’re assuming that their data is good enough to leverage as an asset. It is not. .
Speaker: Sam McAfee, Product Development Consultant, Startup Patterns
You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.
O'Reilly on Data
JULY 18, 2019
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.
Smart Data Collective
JULY 19, 2019
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.
Analytics Vidhya
JULY 22, 2019
Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya.
DataFloq
JULY 21, 2019
Data is at the core of nearly every business that helps you understand and improve business processes. In this modern era ruled by data, AI is evolving into a significant driver that shapes the day-to-day business process and Business Intelligence decision making.
Speaker: Sari Harrison, Product Management Instructor, Product School
As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.
Andrew White
JULY 22, 2019
Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Adam Ronthal goes right into “number 1” with a new note that explores the evolving database market.
Tamr
JULY 16, 2019
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.
Smart Data Collective
JULY 19, 2019
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.
Analytics Vidhya
JULY 16, 2019
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
Speaker: Rene Kolga, Senior Director of Product and Marketing, Nyotron
You can learn a lot by studying your product data, but the real magic happens when product managers blend different types of data from different sources. If you want to blend data and intuition to make bold decisions that move your product forward, you'll need to open yourself up to new data sources - but where do you get this new information? Rene Kolga, Senior Director of Product and Marketing at Nyotron, knows the answer: from other teams in your organization! Join us as Rene goes through the different teams you'll find in a B2B organization, how to build a strong relationship with those teams, and what kinds of insights you can get that will benefit your product.
DataFloq
JULY 16, 2019
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.
Hurwitz & Associates
JULY 15, 2019
The dust is settling. IBM now owns Red Hat. What will this mean for IBM’s ability to become a leader in the cloud market? Will market dynamics change with this acquisition or will things remain the same? Of course, no one knows precisely what will happen.
John Wheeler
JULY 15, 2019
Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC.
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