Analytics Vidhya
MAY 26, 2019
Introduction It is crucial to understand customer behavior in any industry. I realized this last year when my chief marketing officer asked me – The post A Beginner’s Guide to Hierarchical Clustering and how to Perform it in Python appeared first on Analytics Vidhya.
Sisense
MAY 27, 2019
Let’s paint a happy picture. Things are progressing nicely at your organization. You’ve got a strong bank of existing customers whose business you can grow. You’ve got a healthy level of interest from the visitors to your website, enquiries, and trials. You’re regularly finding great leads and you’ve got some good ideas for more lead generation. And you’re consolidating your relationships with your partners, potential new partners, your channels, suppliers, and so forth.
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Corinium
MAY 27, 2019
With the rise of new data streams, the ability to access more data and derive insights from it more quickly is critical. By 2023, worldwide revenue for big data solutions will reach $260 billion.* Download our new 3 Benefits of a Self-Adapting Data Warehouse ebook to learn how analytics leaders leverage technology shorten time to value for their data.
Dataiku
MAY 30, 2019
Data Scientists are a passionate and curious bunch, who explore the ecosystem to learn new technologies and best practices but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we assembled a set of free resources for data scientists to keep up with the latest in research, corporate practices, and data ethics.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Analytics Vidhya
MAY 28, 2019
Introduction I love reading and decoding machine learning research papers. There is so much incredible information to parse through – a goldmine for us. The post Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule appeared first on Analytics Vidhya.
Smart Data Collective
MAY 29, 2019
Big data is completely transforming the way we live and the way companies conduct business. Pretty much every industry you can think of uses some form of big data technology to help optimize their business. In this article, we reveal five industries which have been reshaped by big data technology. 1. Retail. IBM wrote an excellent report about the use of big data in the retail sector.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Data Science 101
MAY 31, 2019
Avrim Blum, John Hopcroft, and Ravindran Kannan wrote the book, Foundations of Data Science (PDF download). It is free and available for download. It can be useful for academic work or in business. It covers topics such as: Machine Learning Massive Data Clustering and many more. See the video for more.
Analytics Vidhya
MAY 29, 2019
Introduction What’s the key to cracking data science competitions? How do you use this experience to break into the data science industry? We regularly. The post Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 27, 2019
What is a business relationship manager? A business relationship manager (BRM) acts as a liaison between IT and other business units in the organization. As departments increasingly rely on technology, organizations often find they need to establish stronger communication between IT and outside business units. The BRM role is typically a senior-level position, for which candidates need a wide range of experience, hard and soft skills and education to fill the job requirements. [ Get ahead with t
Corinium
MAY 26, 2019
Ahead of the Chief Customer Officer New Zealand conference, we caught up with Phillipa Cameron, Chief Customer Officer at Stuff NZ to discuss the biggest challenges she faces in her role, and how to tackle them, how she has encouraged Stuff NZ to be more collaborative as well as how a shift to be more customer focused has impacted the organisation.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
erwin
MAY 31, 2019
It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. I’m not saying that enterprise architects only worry about business structure and high-level processes without regard for business needs, information requirements, data processes, and technology changes necessary to exec
IBM Big Data Hub
MAY 28, 2019
Before making any major purchase decision, most of us read reviews to learn about the experiences of other users and get an understanding of a product from the perspective of the marketplace. This is especially important for when evaluating options for a major investment like planning software.
Data Science 101
MAY 28, 2019
I took and passed DP-100 during the beta period. I recorded a live video talking about my experience. Below is that section of the live video. Also, here are the main topics: Azure ML Studio Machine Learning Python High-level knowledge of Azure Products. Also, if you want a checklist to prepare for the exam, I have created one, it is free.
Smart Data Collective
MAY 28, 2019
Big data is giving savvy brands a significant edge in the market. They are able to use analytics and other data insights to bolster customer service, reduce marginal operating costs and scale production. One of the biggest benefits of big data is in the arena of digital marketing. Dataconomy wrote a post about the value of big data in digital marketing.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Andrew White
MAY 30, 2019
AI is not ugly, that’s for sure. AI is a promising technology, and it is certainly in the limelight. Several articles in the papers over the last few weeks highlight what is good and bad about AI. Here is a snippet of a couple of them. From the US print edition of the Wall Street Journal: April 30 2019: Data Management Helps Companies Exploit AI.
DataRobot
MAY 27, 2019
This blog is meant to be a fun and unique take on predicting which team will win the Stanley Cup 2019.
Sisense
MAY 30, 2019
It’s hard to think about life before cell phones. They function as wallets, music players, newspapers, work tools, GPS systems, and much more. Let’s not forget the instant gratification people expect from their phones. Today we want everything, instantly, in the palm of our hands. That includes insights. If you take the amount of data generated on a daily basis, add to it the move to mobile, and combine that with the need for instant gratification…data visualization for mobile has a lot of
Smart Data Collective
MAY 30, 2019
Big data is changing the direction of customer service. Machine learning tools have led to the development of chatbots. They rely on big data to better serve customers. Namee Jani wrote a fascinating article on chatbots and data analytics last year. She said they are the next big thing in business optimization in her article on Towards Data Science.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
IBM Big Data Hub
MAY 30, 2019
It’s been one year since we launched IBM Cloud Pak for Data (previously IBM Cloud Private for Data), IBM's data and AI platform for today's modern enterprise. Since then, this platform has been embraced by hundreds of customers, and Forrester ranked it No.
Teradata
MAY 28, 2019
Tom Casey discusses marketing personalization and why it's important to the modern customer experience.
Paul Blogs on BI
MAY 28, 2019
This year’s SAP Sapphire conference started somberly with SAP CEO Bill McDermott attempting to paint a rosy picture of the world of SAP. The conference concluded with the high energy and excitement of a fabulous Lady Gaga concert where she confessed that after much research she didn’t have a clue what SAP does! Despite hundreds of sessions and solutions to see, there was something missing.
Smart Data Collective
MAY 28, 2019
CPA Practice Advisor wrote a fascinating article on the applicability of big data in the accounting field. The article showed that the increasing supply of data is making it easier for companies to handle many core accounting functions. Big data is playing an important role in everything from auditing to custom service. There are a lot of benefits of using big data to simplify the accounting process.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
IBM Big Data Hub
MAY 30, 2019
Learn how to upgrade your marketing plans with some insights from Ventana Research.
Teradata
MAY 30, 2019
Rob Armstrong explains three critical ways to get better answers from your data.
Andrew White
MAY 28, 2019
Click here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc.
Smart Data Collective
MAY 31, 2019
Whether it is identity authentication, increasing the speed of cross-border payments , supply chain optimization or transportation logistics, blockchain technology has been providing solutions to a variety of industries. Blockchain can also become the answer to the problems encountered by bancassurance. The Issues Bancassurance Faces Now, and How Blockchain Can Help.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Cloudera
MAY 28, 2019
Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments. But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open so
Octopai
MAY 30, 2019
If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. The right data catalog tool can be a powerful complement to your existing BI processes.
CDW Research Hub
MAY 30, 2019
In today’s dog-eat-dog digital economy, enterprises have had to adopt an MO of constant innovation. How do you out-innovate the competition? Business transformation is only possible with a high-performance storage and infrastructure solution in place that can handle business-critical workloads. PowerMax has been around a long time. Its performance is trusted.
DataRobot
MAY 29, 2019
“Without alignment, data science projects fail to drive outcomes.” So cautions Kjell Carlsson, Ph.D., author of Best Practices: Scaling Data Science Across The Enterprise , a report from industry analysts at Forrester Research. Kjell identifies a company’s IT team as stakeholders whose support is critical to the success of data science projects, and we concur with Kjell’s research.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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