Analytics Vidhya
MARCH 21, 2019
Introduction Do you often work with reports in Excel? Or regularly build dashboards and visualizations in Tableau or Power BI? If you answered yes. The post Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 22, 2019
Machines will need to make ethical decisions, and we will be responsible for those decisions. We are surrounded by systems that make ethical decisions: systems approving loans, trading stocks, forwarding news articles, recommending jail sentences, and much more. They act for us or against us, but almost always without our consent or even our knowledge.
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Rocket-Powered Data Science
MARCH 19, 2019
We hear a lot of hype that says organizations should be “ Data – first ”, or “AI- first , or “ Data – driven ”, or “ Technology – driven ”. A better prescription for business success is for our organization to be analytics – driven and thus analytics-first , while being data -informed and technology -empowered. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!
David Menninger's Analyst Perspectives
MARCH 20, 2019
I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Mobile Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.
Advertiser: ZoomInfo
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Analytics Vidhya
MARCH 17, 2019
Introduction Natural Language Processing (NLP) applications have become ubiquitous these days. I seem to stumble across websites and applications regularly that are leveraging NLP. The post 8 Excellent Pretrained Models to get you Started with Natural Language Processing (NLP) appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 20, 2019
Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. A recent flourish of posts and papers has outlined the broader topic, listed attack vectors and vulnerabilities, started to propose defensive solutions, and provided the necessary framework for this post.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
David Menninger's Analyst Perspectives
MARCH 18, 2019
For analytics to be effective, they need to be available to line-of-business personnel as needed in their normal course of conducting business, which today means providing rich mobile access to analytics through phones and tablets to support a mobile workforce seeking to conduct business in any location at any time. Workers today expect these mobile capabilities, which means organizations must make choices to provide analytics and BI platforms that can deliver them.
Analytics Vidhya
MARCH 19, 2019
Introduction How do we build interpretable machine learning models? Or, in other words, how do we build trust in the models we design? This. The post DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar appeared first on Analytics Vidhya.
Rocket-Powered Data Science
MARCH 19, 2019
We often think of analytics on large scales, particularly in the context of large data sets (“Big Data”). However, there is a growing analytics sector that is focused on the smallest scale. That is the scale of digital sensors — driving us into the new era of sensor analytics. Small scale ( i.e., micro scale) is nothing new in the digital realm.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
datapine
MARCH 22, 2019
“There’s a certain way of creating a service, hospitality, and experience that perpetuates people feeling like they matter.” – Julie Rice, entrepreneur, and investor. Today’s tech-savvy customers are driven by experiences. Now more than ever, consumers look for trust, honesty, transparency, value, and an exemplary level of customer experience (CX) from brands they’re willing to invest in.
Data Science 101
MARCH 16, 2019
Recently updated, is the March 2019 Machine Learning Study Path. It contains links and resources to learn Tensorflow and Scikit-Learn. If you are interested in details on the study path and how to best use the resources. There is a livestream on Facebook, Sunday March 17 on the Math for Data Science Facebook page.
Teradata
MARCH 19, 2019
Teradata is thrilled to be named one the of the World’s Most Ethical Companies, for the tenth consecutive year.
Domino Data Lab
MARCH 20, 2019
Our mission at Domino is to enable organizations to put models at the heart of their business. Models are so different from software — e.g., they require much more data during development, they involve a more experimental research process, and they behave non-deterministically — that organizations need new products and processes to enable data science teams to develop, deploy and manage them at scale.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
datapine
MARCH 19, 2019
We live in a mobile world. According to the statistics portal Statista , there are currently around 4.78 billion mobile device users worldwide. No longer are we bound by the shackles of cumbersome desktop PCs or one specific geographical location to conduct research or complete online data analysis or other important online tasks. In this hyperconnected age, it’s possible to connect, campaign, and produce from anywhere you may be in the world – and the mobile revolution is responsible for this s
Smart Data Collective
MARCH 21, 2019
Among the various factors that play a role in the content marketing decision-making process, analytics ranks near the top of the list. However, not many people understand the benefits of using various analytics tools for marketing a business. Two Experts Share their Perspective on the Benefits of Analytics in Marketing. Elissa Hudson has covered the importance of analytics in digital marketing in her post for HubSpot.
Sisense
MARCH 19, 2019
Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. Amazon’s Redshift data warehouse tools offer such a blend of features, but even so, it’s important to understand what it brings to the table before making a decision to integrate the system.
DataRobot
MARCH 20, 2019
The 2019 NCAA March Madness tournament has arrived! This is one of the most famous annual sports events in the United States, bringing together the best Division 1 men’s and women’s college basketball teams from 68 schools to compete against each other for the NCAA Champion title.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Teradata
MARCH 18, 2019
Chris Twogood explains Pervasive Data Intelligence and why it's important to large-scale enterprise businesses.
Smart Data Collective
MARCH 22, 2019
Big data has made its way into virtually every industry. The real estate profession is no exception. Real estate professionals all over the world are benefiting from big data in a number of ways. CIO has published a very introspective article on eight companies that are using big data to disrupt the real estate industry. Here are some of the biggest benefits of big data for real estate.
TDAN
MARCH 19, 2019
Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way. Which concepts will be forgotten in five years and which […].
BizAcuity
MARCH 18, 2019
An unsecured loan is a loan issued and supported solely by the borrower’s creditworthiness, rather than by any kind of collateral. The terms of such loans, including approval and receipt, are therefore most often contingent on the borrower’s credit score. The consumer lending business is centered on the notion of managing the risk of borrower default.
Advertiser: ZoomInfo
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
Jet Global
MARCH 18, 2019
The key to making accurate, profitable decisions at the speed of business is complete data access and control. That simple concept is the premise of all of our product development. Why? Because at Jet Global, we believe in empowering everyday business users to become instantly successful and productive in an environment that is both user-friendly and secure.
Dataiku
MARCH 19, 2019
The recommendation system topic in machine learning has been extensively documented; nowadays, you can find information ranging from the very basic to the cutting-edge (we’ve written our fair share about the topic too - including not one , not two , but three articles on beer recommendation engines alone).
erwin
MARCH 21, 2019
With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Historically, BPM didn’t necessarily have to be tied to an organization’s data governance initiative. However, data-driven business and the regulations that oversee it are becoming increasingly extensive, so the need to view data governance as a collective effort – in terms of personnel and the tools that make up the strategy – is
Smart Data Collective
MARCH 22, 2019
There are countless applications of machine learning in 2019. The demand for machine learning developers is growing at a rapid pace. MIT recently announced that it is committing $1 billion to a new program to educate technology professionals about machine learning and artificial intelligence. New academic programs are likely to be launched to focus on this rapidly growing field.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Jet Global
MARCH 20, 2019
If it seems as though we were recapping the largest Microsoft Dynamics NAV, Business Central, and GP partner event just months ago, you are right. New for 2019, Directions North America is now a Spring event, and we’re excitedly preparing for one of our favorite shows of the year, taking place in Las Vegas, Nevada May 5th – May 8th. As a Gold Sponsor, we’re going all in on what has led us to success – our loyal partners!
IBM Big Data Hub
MARCH 18, 2019
Support for Netezza TwinFin and Striper models will end as early as June 2019, potentially leaving business-critical data in unsupported environments. Yet there’s no need for long-time Netezza customers to take those risks. The next stage in Netezza’s evolution has already arrived.
Sisense
MARCH 20, 2019
As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-grow
Smart Data Collective
MARCH 21, 2019
Trying to create the ultimate SaaS pricing strategy is tricky, to say the least. The point is to make yourself and your customers happy – you want your product to be properly aligned with value so you can earn revenues from it, while on the other side clients want something they deem “affordable.” If the price is too low, it may even deter the buyers as it may be associated with low quality.
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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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