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Information Management


How AI simplifies data management for drug discovery

#artificialintelligence

Calithera is running registered clinical trials on its products to study their safety, whether they're effective in patients with specific gene mutations, and how well they work in combination with other therapies. The company must collect detailed data on hundreds of patients. While some of its trials are in early stages and involve only a small number of patients, others span more than 100 research centers across the globe. "In the life-sciences world, one of the biggest challenges we have is the enormous amount of data we generate, more than any other business," says Behrooz Najafi, Calithera's lead information technology strategist. Calithera must store and manage the data while making sure it's readily available when needed, even years from now.


Top Snowflake Interview Questions

#artificialintelligence

Snowflake is a cloud data warehouse provided as a software-as-a-service (SaaS). It consists of unique architecture to handle multiple aspects of data and analytics. Snowflake sets itself apart from all other traditional data warehouse solutions with advanced capabilities like improved performance, simplicity, high concurrency and cost-effectiveness. Snowflake's shared data architecture physically separates the computation and storage which is not possible by the traditional offerings. It streamlines the process for businesses to store and analyze massive volumes of data using cloud-based tools.


Four Ways AI, VR & AR Can Enhance Your Marketing

#artificialintelligence

When you sit back and think about the changes that have been made in technology over the past few years, it is quite amazing. It was not that long ago that home phones were more common than mobile phones. However, now almost everyone has a mobile phone and many people do not have a landline. The same can be said for newer technologies such as Google Nest Audio or Amazon Alexa. Households that own a smart speaker state that using it has become an essential part of their day.


How AI simplifies data management for drug discovery

#artificialintelligence

Calithera is running registered clinical trials on its products to study their safety, whether they're effective in patients with specific gene mutations, and how well they work in combination with other therapies. The company must collect detailed data on hundreds of patients. While some of its trials are in early stages and involve only a small number of patients, others span more than 100 research centers across the globe. "In the life-sciences world, one of the biggest challenges we have is the enormous amount of data we generate, more than any other business," says Behrooz Najafi, Calithera's lead information technology strategist. Calithera must store and manage the data while making sure it's readily available when needed, even years from now.


Top 10 Most Influential Books for Data Storage Architects

#artificialintelligence

Data storage architects are entrusted with a great deal of responsibility. It is important to be able to manage huge volumes of data without issue. Books are a fantastic source for experts wanting to learn about a certain sector of technology, whether hardback or digital, and data storage architects are no exception. Here is a list of the top ten books for data storage architects. These books are prepared by writers with expertise and renown in data storage and are designed for both beginners and specialists. This is one of the best books for data storage architects.


Snapchat's Scan feature can identify dogs, plants, clothes, and more

#artificialintelligence

Snapchat's camera has to date mostly been associated with sending disappearing messages and goofy AR effects, like a virtual dancing hot dog. But what if it did things for you, like suggest ways to make your videos look and sound better? Or show you a similar shirt based on the one you're looking at? Starting Thursday, a feature called Scan is being upgraded and placed front and center in the app's camera, letting it identify a range of things in the real world, like clothes or dog breeds. Scan's prominent placement in Snapchat means that the company is slowly becoming not just a messaging app, but a visual search engine.


This AI Makes Sure Your Data Center Is Always Up And Running

#artificialintelligence

Data is eating the world and data centers rapidly expand to contain the more than 65 trillion gigabytes of data created and replicated worldwide. IDC predicts a 23% compound annual growth rate (CAGR) of data from 2020 to 2025, driving new applications and uses for AI or machine learning that is based on analysis of lots and lots of data. Such new AI applications are now reaching all corners of the corporate world, including the companies providing the tools, technologies, and infrastructure that are required for managing the data housed in large data centers. Google, for example, has used machine learning to find new ways to save energy in its data centers around the world, achieving in eighteen months a 40% reduction in energy used for cooling and 15% reduction in overall energy overhead. CDS, provider of multi-vendor services for data centers worldwide, today announced Nebula, a machine learning program that provides predictive intelligence on parts availability and delivery and other services for enhancing operations, sales, and service delivery.


11 ways to open Command Prompt in Windows

PCWorld

The Command Prompt app has been around since December 1987, providing Windows users with a command-line interface from which to execute operating systems tasks, many of which are very useful. Due to its popularity, Microsoft has made the app easily accessible on Windows 10, in more ways than one. Here are 11 ways to open Command Prompt. You can search for any app using the Windows search bar, and the Command Prompt is no exception. You can also open Command Prompt from the Start menu.


How Does Google Use Artificial Intelligence (AI)?

#artificialintelligence

Every time you search for something in Google, artificial intelligence is working behind the scenes to generate responses to your query. A deep learning system called RankBrain has changed the way the search engine functions. In many cases, RankBrain handles search queries better than traditional algorithmic rules that were hand-coded by human engineers, and Google realized a long time ago that AI is the future of their search platform. AI will try to understand exactly what we are searching for and then deliver personalized results to us, based on what it knows about us. You may not realize it, but AI is already deeply integrated into many of the Google products you are using today.


How AI is Transforming SEO

#artificialintelligence

AI and Machine Learning are transforming the world around us, and nowhere is it more evident and relatable than in the much-contested world of Search Engine Optimization (SEO). Google's search engine ranking algorithm, for example, has been fluidly evolving for years now. In the latter parts of 2015, Google introduced an AI-based search query ranking algorithm named "RankBrain". In the pre RankBrain era, Google utilised relatively basic algorithms to determine which results to prioritize for a given user search query, including basic keyword matching and backlinks, or site authority. In the post RankBrain era, each user query now goes through an interpretation model that can apply a whole myriad of signals, like the user's location, personalisation and previous browsing history, device and the words of the query, to name a few, to determine the searcher's true intent.