Shopping Cart
Your Cart is Empty
Quantity:
Subtotal
Taxes
Shipping
Total
There was an error with PayPalClick here to try again
CelebrateThank you for your business!You should be receiving an order confirmation from Paypal shortly.Exit Shopping Cart

ATABKAM Professional Services

Delivering Business Value Consistently

Blog

Machine Learning Is The Future Of Cancer Prediction

Posted on September 1, 2019 at 11:04 AM Comments comments (0)


*********
Every year, Pathologists diagnose 14 million new patients with cancer around the world. That’s millions of people who’ll face years of uncertainty.
Pathologists have been performing cancer diagnoses and prognoses for decades. Most pathologists have a 96–98% success rate for diagnosing cancer. They’re pretty good at that part.
The problem comes in the next part. According to the Oslo University Hospital, the accuracy of prognoses is only 60% for pathologists. A prognosis is the part of a biopsy that comes after cancer has been diagnosed, it is predicting the development of the disease.
It’s time for the next step to be taken in pathology.
Introducing Machine Learning....
*********

(To read the entire article please click on the image below) 

























How is machine learning affecting genetic testing?

Posted on January 20, 2019 at 11:02 PM Comments comments (0)
 
*******
Machine learning is being applied to genetic testing in many different ways.
The applications are nearly endless. Machine learning is helping scientists to analyze DNA, decode the human genome, assess disease phenotypes, understand gene expression, and even participate in a process called gene editing, where DNA is actually “spliced” into an organism’s genetic code...
*******    
  
(To read the entire article, please click on the image below)























Data Scientists: The New Rock Stars of the Tech World

Posted on November 4, 2018 at 1:01 PM Comments comments (0)


*****
The data scientist role is fast becoming the most sought-after career in the technology world. Companies like Google, Facebook, Amazon and LinkedIn are using data scientists to help them maintain that innovative edge in the digital data era. And now data and technology enthusiasts are aspiring to become data scientists the same way some musicians aspire to become rock stars. Perhaps that's why some people are referring to data scientists as the new rock stars of the technology era.

Unfortunately, this role is still so new that there's still a level of obscurity about it, which means many wannabe data scientists are driving their tour buses down the wrong road. Do data scientists deserve their rock star reputations? We dive into the world of data science with an interview with Jake Porway, the data scientist from the R&D lab at The New York Times.
*****

(To read the entire article, please click on the image below)


















A Friendly Introduction to Machine Learning

Posted on October 7, 2018 at 3:46 PM Comments comments (0)

(To watch the video, please click on the image below)




















Robot co-workers? 7 cool technologies changing the way we work

Posted on September 9, 2018 at 2:11 PM Comments comments (0)


******
Technology is poised to change the workplace. Soon you may have a robot for a co-worker or a microchip embedded under your skin that's a work ID.

Some innovations are already making an impact. Virtual reality, for example, is going beyond gaming to serve as a powerful workplace training tool.

One of the biggest areas where VR training can be useful is safety, according to J. P. Gownder, vice president at research firm Forrester.

A startup named Strivr designs VR experiences that allow construction workers who put on a VR headset to understand hazards before entering a site. Nurses can use it to learn more about medical devices they use to treat patients.

The technology can be put to quirkier use too. Strivr has worked with Walmart to prepare workers for Black Friday crowds. It's also worked with Dallas Cowboy and Minnesota Viking football players, making it easier for players to envision and learn plays even when they're off the field....
******

(To read the entire article, please click on the image below)

























5 Ways to Help Employees Keep Up with Digital Transformation

Posted on September 2, 2018 at 11:58 PM Comments comments (0)

 
******
The consumer packaged goods (CPG) landscape is in the midst of a significant shake-up. Coca-Cola recently reshuffled its leadership team to focus on growth, innovation, and digital. Unilever has acquired Dollar Shave Club, a young startup, for $1 billion in a move to introduce a new model of subscription sales. L’Oréal has made a strategic investment in Founders Factory, a digital startup accelerator. And at Greycroft, a venture capital firm, investor Teddy Citrin has laid out a veritable map for the further disruption of every consumer products category.

From our view and experience, what underpins the success of these new ideas and approaches is the abilities, skills, and mindset of the company’s workforce. In our work with leading consumer products companies around the world, we’ve identified clear practices and investments that bring a greater chance of success in organizing a workforce around the expectations and needs of the connected consumer. Here are five:...
*******
   
(To read the entire article, please click on the image below)
























On machine learning and structure for (driverless cars) mobile robots

Posted on August 6, 2018 at 10:19 PM Comments comments (0)



******
Due to recent advances - compute, data, models - the role of learning in autonomous systems has expanded significantly, rendering new applications possible for the first time. While some of the most significant benefits are obtained in the perception modules of the software stack, other aspects continue to rely on known manual procedures based on prior knowledge on geometry, dynamics, kinematics etc. Nonetheless, learning gains relevance in these modules when data collection and curation become easier than manual rule design. Building on this coarse and broad survey of current research, the final sections aim to provide insights into future potentials and challenges as well as the necessity of structure in current practical applications...
*******

(To read the entire article, please click on the image below)























30+ Real Examples Of Blockchain Technology In Practice

Posted on July 1, 2018 at 5:56 PM Comments comments (3)


*****
While Bitcoin and cryptocurrency may have been the first widely known uses of blockchain technology, today, it’s far from the only one. In fact, blockchain is revolutionizing most every industry. Here are just a few of the practical examples of blockchain technology.

Entertainment

KickCity—Platform for event organizers that enables them to pay only for what they get, and rewards community members by sharing those events. Their products generate around $50k monthly with more than 70k users and 300 event hosts.

B2Expand—Based on the Ethereum blockchain they create cross-gaming video games. Their first video game “Beyond the Void” got into Ubisoft's startup program and they're the first gaming company on Steam with a crypto economy....

*****

(To read the entire article, please click on the image below)



























5 Neural Network Use Cases That Will Help You Understand the Technology Better

Posted on June 23, 2018 at 5:51 PM Comments comments (0)


*****
Every day, highly advanced artificial neural networks (ANNs) and deep learningalgorithms scan through millions of queries and dig through the endless flow of big data. They are providing the knowledge required to fuel the many ever-evolving artificial intelligence (AI) that many software houses have incorporated in their products. Machine learning is the instrument through which these newborn computer-based bits of synthetic intelligence process all the info they're nourished with, much like the five senses help a human toddler learn and experience the world.

Eventually, all this information becomes enough to help these AIs provide us with new answers to our questions, and many solutions that are much smarter than those that a human mind might conceive. So, what are some examples where neural networks and machine learning are being effectively used in practice today? Let's have a look...
*****

(To read the entire article, please click on the image below)


























How Machine Learning Can Improve Supply Chain Efficiency

Posted on April 28, 2018 at 4:18 PM Comments comments (1)


********
Takeaway:  In order for a business to succeed, it must have a properly managed supply chain. Machine learning is helping to improve the accuracy and efficiency of supply chain management.

In today's volatile and complex business world, it is very difficult to make a reliable demand forecasting model for supply chains. Most forecasting techniques produce disappointing results. The root causes behind these errors are often found to be lying in the techniques that are used in the old models. These models are not designed to learn continuously from data and make decisions. Therefore, they become obsolete when new data comes in and forecasting is undertaken. The answer to this problem is machine learning, which can help a supply chain to forecast efficiently and manage it properly. (For more on machines and intelligence, see Thinking Machines: The Artificial Intelligence Debate.)....
*********

(To read the entire article, please click on the image below)