Analytics Vidhya
MARCH 2, 2020
Learn about deploying deep learning models using TensorFlow Serving How to handle post-deployment challenges like swapping between different versions of models using TensorFlow Serving. The post TensorFlow Serving: Deploying Deep Learning Models Just Got Easier! appeared first on Analytics Vidhya.
Juice Analytics
MARCH 2, 2020
In our data storytelling workshops, I like to discuss the emerging role of ‘analytics translators.’ McKinsey Global Institute estimates that demand for translators in the United States alone may reach two to four million. ( Source ) But the term "translator" gives the impression that the role is about faithful transformation of data into a human-understandable form.
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IBM Big Data Hub
MARCH 2, 2020
IBM Data Science and AI Elite team members Mehrnoosh Vahdat and Rachael Dottle were just one month into their IBM careers when they received their first assignment last July. . The project jettisoned them into the heart of Africa, where their banking client was looking to surface new business opportunities across the subcontinent. Their mission was to generate a proof of concept designed to enhance the value of data science and inject the results into workflows for business users and clients.
Jet Global
MARCH 2, 2020
Do you struggle with your financial reporting on Yardi, and find yourself spending hours downloading data and customizing reports? Are you frustrated with relying on IT or consultants to create your reports, and encountering delays and missed deadlines? Many finance teams using Yardi property management solutions find that they spend excessive amounts of their time on manual reporting tasks, which is exacerbated by the extensive number of reports required for banking and investment accounting.
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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.
Dataiku
MARCH 2, 2020
Dataiku’s compelling documentary, “Data Science Pioneers,” has been viewed by more than 6,000 people in over 40 countries globally. Read further for additional highlights from the film.
DataCamp
MARCH 2, 2020
Find out how buzzwords like machine learning, deep learning, and AI are fundamentally shifting the nature of business, and how you need to think of them to stay competitive.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Andrew White
MARCH 2, 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. Ted Friedman’s note on data hubs, and how they differ to data warehouses and data lakes, and how they work better together , was recently updated and again has stormed to number 1 most read piece of D&A research last week.
DataRobot Blog
MARCH 2, 2020
by Jen Underwood. Like many other industries today, life sciences face a data deluge. Astronomical amounts of healthcare data double every 73 days. Extreme levels of data proliferation overwhelm top research organizations, existing. Read More.
Anmut
MARCH 2, 2020
Data is everywhere. Data is revolutionising business, changing the way organisations work, the services they offer and the decisions leaders make. This trend is obvious in born digital businesses like Netflix, Amazon and Uber. Their data is used to make recommendations, manage inventories or match capacity (drivers) to demand (passengers). For many businesses, data has become the lubricant that allows markets to operate more seamlessly – allowing firms to better match supply and demand.
Andrew White
MARCH 2, 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. Henry Cook’s new note about automating data warehouse development entered the charts last week and this week moved up to top spot. Enjoy!
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.
Teradata
MARCH 2, 2020
Learn how Teradata's hashing algorithm is used to enhance the performance and ease-of-use of the Advanced SQL Engine.
Andrew White
MARCH 2, 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. Guido De Simoni’ s new note, in how to deliver business value from metadata management , entered the charts last week at number 7 and this week moved up to ‘top spot’ Enjoy!
Sisense
MARCH 2, 2020
Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. McKinsey famously said that “APIs are the connective tissue in today’s ecosystems [of technologies and organizations] … and have now become a significant engine of business growth.”.
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