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.
datapine
JULY 17, 2019
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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Smart Data Collective
JULY 17, 2019
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.
Dataiku
JULY 17, 2019
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.
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.
Smart Data Collective
JULY 17, 2019
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.
Sisense
JULY 17, 2019
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
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jet Global
JULY 17, 2019
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.
Smart Data Collective
JULY 17, 2019
Americans are overwhelmingly concerned about online privacy. In December, a poll found that only 8% of Americans did not support any type of data protection policy. They believe that the government should do more to develop privacy safeguards. Unfortunately, the government is not going to take action anytime soon. If anything, we have taken a massive step back.
IBM Big Data Hub
JULY 17, 2019
Capitalogix is a hedge fund, but it’s really a data science firm in disguise. They work to understand and exploit capital markets by building custom data science models that can analyze massive amounts of data from as many sources as possible.
Data Virtualization
JULY 17, 2019
Altus Analytics provides real estate investors with the technology and data they need to derive the best value from their properties. Comprehensive, value added reports are at the heart of what they provide, but these were taking them a few.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
IBM Big Data Hub
JULY 17, 2019
Learn how Sara Hines, an IBM recognized woman leader in AI, rounds-up an “angsty AI teen” to improve the customer experience at Humana.
CDW Research Hub
JULY 17, 2019
For some consumers, just hearing the word “data” is enough to send shivers down their spines. Data controversies such as the Facebook-Cambridge Analytica scandal have made the public wary about how companies collect and use their data. However, data doesn’t have to be creepy, and shouldn’t be. When used securely and strategically, data can help create a better customer experience while enabling businesses to make smarter decisions.
Nutanix
JULY 17, 2019
Unstructured data is typically comprised of data that is not easily searchable, including such formats as audio, video, and social media postings. It has an internal structure but is not structured via pre-defined data models and may be textual or non-textual, and human- or machine-generated. It is typically stored on file and object storage.
Octopai
JULY 17, 2019
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Nutanix
JULY 17, 2019
Recently at the annual Nutanix.NEXT Conference, Nutanix CIO Wendy M. Pfeiffer gave a perspective on the team members CIOs need today to succeed in the evolving cloud world. Here are some of the key takeaways from her presentation.
erwin
JULY 17, 2019
Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy.
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