Smart Data Collective
JULY 25, 2019
Not long ago, big data was one of the most talked about tech trends , as was artificial intelligence (AI). But, in case people need a reminder of how fast technology evolves , they only need to consider something newer — big data AI. It combines elements of both technologies. AI allows computers to perform cognitive functions, much like the human brain.
DataRobot Blog
JULY 9, 2019
by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.
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Dataiku
JULY 4, 2019
It's hard to know where to start once you’ve decided that yes, you want to dive into the fascinating world of data and AI. Just looking at all the technologies you have to understand and all the tools you’re supposed to master is enough to make your dizzy.
BA Learnings
JULY 18, 2019
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”. Agile manifesto encourages: - Customer collaboration over contract negotiation - Individuals and interactions over processes and tools - Responding to change over following a plan - Working software over full documentation This does not however imply that the agi
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Jet Global
JULY 2, 2019
The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive. What was at first a data stream has morphed into a data river as enterprise businesses are harvesting reams of data from every conceivable input across every conc
TDAN
JULY 16, 2019
Turn Your Statistics Into Something More Interesting Data is quickly becoming a defining thing in the business world. It is the lifeblood of every company decision and thus, it defines what companies do. A company which doesn’t pay attention to proper statistics can be at a serious disadvantage from companies who do, especially companies that […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Sisense
JULY 8, 2019
Blog. Both automated reporting and business intelligence can help businesses perform better but in different ways. With automated reporting, organizations can simply produce reports faster and with less effort from business data without further analysis. Alternatively, using a BI solution can offer ease of use in exploring the data, as well as scalability in automating reports from those explorations seamlessly and rapidly.
Analytics Vidhya
JULY 31, 2019
Overview Managing the various stakeholders in a data science project is a must-have aspect for a leader Delivering an end-to-end data science project is. The post A Data Science Leader’s Guide to Managing Stakeholders 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.
Smart Data Collective
JULY 30, 2019
In an earlier age, perhaps as little as a decade ago, businesses had to rely on intuition and educated guesses to guide their spending. The situation was famously captured by John Wanamaker, who said, “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half.” Today, data is everywhere. Phones track our locations and our social media usage.
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
Teradata
JULY 9, 2019
Integrated data and analytics has a proven track record of helping organize operations, enhance customer experience and improve revenue and market growth.
Data Insight
JULY 22, 2019
What happens if we run that campaign? Who’s going to be affected if we make this change? How do we know what good looks like? Data can be a valuable asset, helping drive business effectiveness and decision-making. Yet businesses often fail to ask the right questions of their data in order to realise its ultimate potential. Here are the top five questions you should be asking your data analysts in order to get the most out of your data. 1.
Jet Global
JULY 11, 2019
With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends.
Analytics Vidhya
JULY 29, 2019
Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.
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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
JULY 11, 2019
The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. In the digital age, there’s little need for a department of IT technicians, plus a qualified graphic designer, to create a dazzling data dashboard.
O'Reilly on Data
JULY 3, 2019
The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. In this week's episode of the Data Show, we're featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Podcast , where he was interviewed by Jeff Meyerson.
Corinium
JULY 7, 2019
Drawing on over 30 years of experience, we caught up with our international keynote, Cary Correia, Chief Commercial Data Scientist, GE USA to share some golden nuggets on how to truly achieve a data-driven culture and become an intelligent enterprise. See how Cary’s teams worked towards a data driven culture, the use of proactive and reactive analytics, and facilitating the most significant steps to move from strategy to execution.
David Menninger's Analyst Perspectives
JULY 26, 2019
Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.
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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.
Rocket-Powered Data Science
JULY 7, 2019
Career Relevance. Definitions of terminology frequently seen and used in discussions of emerging digital technologies. (NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data).
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. The post Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code) appeared first on Analytics Vidhya.
datapine
JULY 3, 2019
In a hyper-connected digital world driven by data, there has never been a better time for businesses to gather meaningful insights on their target prospects, in addition to measuring ongoing levels of commercial growth and performance. The modern consumer, or digital native, craves a significant level of value from the brands in which they’re looking to invest – and as such, to gain consumer loyalty, businesses must reach out and talk to their customers on a personal level.
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. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operation
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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.
Corinium
JULY 2, 2019
Africa is at the centre of a global development crisis and customer experience professionals have the opportunity to influence economic growth and increase shareholder value with meaningful impact. The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, provides a shared blueprint for peace and prosperity for citizens, businesses and the planet, now and into the future.
David Menninger's Analyst Perspectives
JULY 23, 2019
Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.
KDnuggets
JULY 29, 2019
Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.
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.
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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?
datapine
JULY 31, 2019
In a data-driven age, modern organizations need access to advanced data analytics solutions to help them improve the business in a wealth of key areas—Salesforce is one of those solutions. One of the world’s most popular cloud-based customer relationship management (CRM) platforms, the software is designed to help companies across sectors plan and optimize their sales processes.
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. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016.
Corinium
JULY 31, 2019
What is the biggest challenge you face within your role today and how are you looking to tackle it? I think a challenge faced by many more traditional organisations (including our own) is how to put a financial value on Customer Experience. Traditionally business cases are built on the financial value that can be derived from an initiative with specific expectations around pay-back time frames.
Domino Data Lab
JULY 9, 2019
Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way.
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