Analytics Vidhya
DECEMBER 29, 2019
Introduction The stock of a data scientist is at an all-time high right now. There aren’t too many professions out there that can rival. The post 5 Key Reasons Why Data Scientists Are Quitting their Jobs appeared first on Analytics Vidhya.
TDAN
DECEMBER 31, 2019
The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication. In a 1971 book titled, “Silent Messages,” by Albert Mehrabian, the combination of non-verbal and spoken words is referred to as the 7%-38%-55% rule (source). Think of it this way. When you […].
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Corinium
JANUARY 2, 2020
AI looks set to become an integral part of modern business. Our latest benchmarking survey of more than 600 global data and analytics leaders shows that 80% have already deployed machine learning (ML) algorithms within their organizations.
KDnuggets
JANUARY 3, 2020
Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
JANUARY 1, 2020
Introduction I love the sci-fi movie genre. Futuristic scenarios, jaw-dropping visuals, a tight storyline knitting it all together – that’s a recipe for a. The post 10 Under-the-Radar Movies that Show the Power of Machine Learning appeared first on Analytics Vidhya.
Sisense
JANUARY 1, 2020
Blog. Data and analytics are all about finding patterns, figuring out what’s next, and creating a better world. In Build the Future of Data , we give you insights into the tools and trends that will define the next era of business. Start strong with the right knowledge. Few worlds have a pace of innovation quite like data and analytics. We’ve collected the biggest posts of 2019 to give you a look at where the industry has been and where it’s going to give you the can’t-miss perspectives an
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
JANUARY 2, 2020
Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.
Juice Analytics
DECEMBER 30, 2019
Here at Juice, we are beyond thankful and grateful to have friends who help us advance our mission to fix everyone’s data drama. Whether they are current customers, data & analytics professionals that we admire and who admire our company, or those that help connect us further with prospective customers; we are so glad to have friends of Juice! Meet this week’s Friend of Juice, Dave McDowell!
Sisense
DECEMBER 30, 2019
Blog. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Better dashboards, better decisions. A well-constructed and organized dashboard empowers users to make better data-driven decisions. But how can you recognize readability issues in your dashboards while you build them to avoid wasting time and endlessly redoing your work?
DataRobot
DECEMBER 31, 2019
This blog provides a unique take on using machine learning to predict the college football bowl games. With the NCAA college football post-season in full swing, many die-hard fans are either preparing to root for their alma mater or have already vested their energy towards cheering for them. With many big games still on the table (e.g., Alabama vs. Michigan, Georgia vs.
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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?
KDnuggets
DECEMBER 31, 2019
With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult. While machine learning offers significant power in driving digital transformations, a business must start with the right questions and leave the math to the development teams.
Data Science 101
DECEMBER 30, 2019
A bit of a slow news week in the tech world, but that is expected. The full news with all the links is available at Cloud Data Science News – Beta 8. Happy New Year!
TDAN
DECEMBER 31, 2019
Organizations that have implemented Data Governance programs, or Information Governance, Data/Information Management or Records Management programs will be the first to tell you that these data disciplines are not easy to operationalize. Data Management requires that the organization care for data as an asset. Managing data as an asset sounds pretty complicated.
Timo Elliott
JANUARY 3, 2020
This is a copy of a blog post that appeared in Digitalist Magazine , ably assisted by Shelly Dutton. . Among the world’s small and midsize companies, millions of multi-generational family businesses underpin many economies. They have proven their staying power by defeating the overwhelming odds of not surviving past the second generation of ownership.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
KDnuggets
JANUARY 3, 2020
This post presents a pipeline of building a KNN model in R with various measurement metrics.
Data Science 101
JANUARY 3, 2020
Happy New Year. 2020 is here. A new decade! Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. News. No significant news to report. Hopefully some releases and announcements will be coming next week. Videos. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego.
Jen Stirrup
JANUARY 2, 2020
I conducted a workshop in Florida recently, aimed at helping people to move from Business Intelligence to Analytics. I thought I’d post the slides here. If you have any questions, please get in touch with me here. I have added some guidelines for using Power BI with marketing and sales data. These are general principles, and I hope it’s useful to people who produce business intelligence dashboards in these areas.
Octopai
DECEMBER 30, 2019
As 2019 ends, business intelligence specialists around the world are working to gather as much data as possible from the past year to prepare end-of-year reports. There are a lot of different goals for compiling and analyzing this data, from making staffing decisions, to developing new products and designing better budgets, but making sure your data is trustworthy is of paramount importance.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
KDnuggets
JANUARY 2, 2020
In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.
Juice Analytics
JANUARY 3, 2020
Juice wouldn’t be the successful company that it is today without our friends who have championed our mission and expanded our network. We have identified several of Juice’s closest friends and advocates and we want to introduce them to you! Meet Terri Hall! Terri is the Director of Business Research Intelligence at the University of Notre Dame, where she has spent the last 21 years of her career.
TDAN
DECEMBER 31, 2019
Cyber-attacks are a huge problem for today’s businesses. If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 million. That means that any breach could bankrupt your business. […].
Jet Global
JANUARY 3, 2020
When companies talk about becoming data-driven, they’re really talking about having a single source of truth (SSOT). It’s the holy grail of today’s insight-driven businesses, and it promises to transform how every decision is made to give companies complete control over their competitive advantage. Here’s the only problem: Very few companies actually have an SSOT to rely on.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
KDnuggets
DECEMBER 30, 2019
For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.
Bruno Aziza
JANUARY 2, 2020
The principal challenges to becoming data-driven continue to be people and business process related.
Andrew White
JANUARY 3, 2020
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. Ehtisham Zaidi scores his third “number 1” hit of 2019 with a new note targeting the data fabric. This will give you some inkling into new content for the data management thread at our upcoming data and analytics conference season (around the world).
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
KDnuggets
JANUARY 2, 2020
Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.
Jet Global
DECEMBER 31, 2019
Jonathan Reichental, Ph.D., is the Founder and CEO of Human Future, a global business and technology education, advisory, and investment firm. He is also an author, speaker, and thought leader helping to shape the conversation around digital transformation and 21st-century excellence. We spoke with Reichental about the disruptive forces in today’s economy, the imperative to change, and the crucial role of technology.
Teradata
DECEMBER 29, 2019
How do you organize your business for analytics? Here are six steps your enterprise should take when creating an analytics team. Read more!
Andrew White
JANUARY 3, 2020
What are the assumptions you use to base your plans for 2020? It probably makes sense to be clear what assumptions underpin your plans for the coming year. After all, you need some foundations in place in order to take decision or create the framework on which others will take decisions. Here are a couple of assumptions that might impact information and technology investment decisions.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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