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How AI can change the marketplace (and the world) this year. via Entrepreneur: Latest Machine Learning Articles http://ift.tt/2mSOlW9

They'll be coming into your life -- at least your business life -- sooner than you think. via Entrepreneur: Latest Machine Learning Articles http://ift.tt/2EXKjCp

Machine learning unveils the hidden potentials of big data to solve complex business problems. via Entrepreneur: Latest Machine Learning Articles http://ift.tt/2nnBZpl

Our understanding of the universe is poised to progress at warp speed, thanks to new research by scientists at the National Center for Supercomputing Applications at the University of Illinois, Urbana-Champaign. The NCSA scientists are pioneering the use of GPU-accelerated deep learning to detect and interpret gravitational waves, ripples in the fabric of space and time caused by exploding stars, colliding black holes, and even the birth of the universe itself. Their work, which uses simulations run on traditional supercomputers to train AI, has the potential to speed scientific discovery by slashing the time and computational resources needed to analyze gravitational waves and the astronomical events that cause them. As a result, researchers can spot waves that previously went undetected and to probe them more deeply, putting us closer to understanding how the universe works. “Scientists might find gravitational waves not predicted by Einstein (in his general theory of relativity...

Thinking about depression treatment is likely to depress you. The disease, which is the world’s leading cause of disability , affects an estimated 300 million people globally. Although there are plenty of possible treatments, doctors have no reliable way to know what’s best for each patient. Many people struggle with depression for years — enduring medication side effects and feelings of despair — while they contend with what’s now a trial-and-error effort. “That suffering motivated us to find a better way,” said Robert Fratila, co-founder and chief technology officer at Montréal-based startup, Aifred Health . The company is using GPU-accelerated deep learning to predict the best treatments based on a patient’s symptoms, demographics and the results of certain medical tests. Its work so far earned it a spot as one of the top 10 teams in the ongoing $5 million IBM Watson AI XPRIZE Competition , Personalized Depression Treatment Depression is more than just a bout of the blues. At ...

Streaming video traffic is growing exponentially, and it shows no signs of slowing down. Internet traffic from streaming video in 2021 will quadruple today’s traffic, according to estimates by Cisco Visual Networking Index. That’s great for people using sites like Facebook, SnapChat or YouTube, the latter of which now has over 1 billion users — or nearly one-third of all internet users. But it’s a daunting task for enterprises that need to screen out inappropriate or illegal content uploaded to their platforms. JD is the second largest business-to-consumer e-commerce company in China. Using NVIDIA Tesla GPUs and our DeepStream software development kit  (SDK) based deep learning platform for smart video analytics, JD achieved a 40x increase in its video detection efficiency. Keeping Up When Your Business Goes POP JD, which has over 265 million active users, is on the Fortune Global 500 with a trading volume that reached nearly RMB1 trillion ($154 billion) in 2016. The rapid gro...

Demand is off the charts for blockchain talent, and the capital is waiting to back it up. Over $3.7 billion has been raised through ICOs in the United States alone. Blockchain-related jobs are the second-fastest growing in today’s labor market; there are now 14 jobs openings for every single blockchain developer. And as Nick Szabo, the developer who coined “smart contracts” pointed out there is an extreme “ $/knowledge ” ratio in the blockchain space, where capital by far outpaces talent. Today, Toptal , a marketplace for on-demand tech talent, is publicly launching their blockchain engineering talent vertical out of private beta. In today’s software development landscape, Toptal represents about 50 percent of on-demand engineering labor by revenue. Requests for on-demand blockchain talent are skyrocketing. Last year, freelance talent marketplace  Upwork  saw blockchain rise to the fastest-growing skill out of over 5,000 skills in terms of freelancer billings —  ...

The explosion of big data in the health care industry is both a boon and concern. The race to quickly recover actionable insights from such data can lead to innovation and pitfalls, yet big data has the potential to reap rewards in assisting patients and improve operational and clinical processes. When data assets are transformed into data insights, everyone wins — leading to lower health care costs, healthier patients, improved consumer and staff satisfaction and greater understanding and transparency in processes for all. Big data’s actionable insights have the ability to create a culture of meaningful health care, yet there are many roadblocks to overcome on the way there. Provider organizers must take a closer look at how they collect, store, analyze and present data to patients, staff and business partners to avoid a data mess without any beneficial or relevant insights. What is the most meaningful way to offer these insights? Here are the benefits and challenges providers face...

By Ted Gaubert . Why are we paying different prices? Is it ‘price personalization’ or a form of 'price discrimination'? The answer isn't so simple. The world of Artificial Intelligence (AI) dynamic pricing engines is rapidly progressing and changing the competitive landscape. This article provides an overview of a few areas that influence how an AI pricing engine decides the price to show you: Predicting market demand & micro-segmentation Accumulating asymmetric information Estimating ‘Willingness to Pay’ Shaping demand 1. Predicting Market Demand and Micro-Segmentation AI micro-segmentation uses many customer attributes and behaviors to bucket customers by estimated willingness to pay. To explain in simple terms, let’s assume we have three buckets. We segment our customers by (A) high paying customers, (B) medium paying customers and (C) low paying customers. One strategy to maximize profits would be to first sell only to the high paying customer group A. ...

“We should study Science Fiction in order to understand what someday could become Science Fact.” – Dr. Who?  Doc Brown?  Kodos and Kang? This is the time of year when everyone makes his or her predictions for 2018.  I have my predictions as well, but wanted to do something a bit more fun.  So I thought I’d look backwards to the state of technology 50 years ago to gain some insights that we can use to make projections about 2018. That is, what “predictions” made in the 1950’s might tell us about 2018. However, it’s really hard to find predictions about the future made in the 1950’s.  There was no Internet or Social Media or Reality TV, so I found the next best proxy…sci-fi movies!  I decided to review the most popular sci-fi movies from 1950’s, and provide my perspective as to what these movies might tell us about 2018.  Maybe drink a Tab or Fresca as you read this.   The Day the Earth Stood Still (1951)   In the movie “The Day the ...

Los metadatos online o in house son ignorados constantemente en los proyectos Big Data , y eso va en perjuicio del propio proyecto. Son ignorados porque muchas veces se da por sentado que la gestión de Big Data ya lo contempla. Pero esto no siempre es así y los metadatos online son cruciales para el éxito general de un proyecto Big Data así como para la organización de la arquitectura de datos de la empresa. Créditos fotográficos: Aleutie También ocurre que algunas veces los metadatos online son confundidos con el Big Data. Es importante conocer la diferencia entre metadatos online y Big Data para determinar si el Big Data los contiene, si Big Data en realidad es solo una gran colección de metadatos o si es más que eso.     Hay algunas diferencias clave que vamos a ver.   Puntos de divergencia entre Big Data y los metadatos online Igual que sucede con la aguja y el pajar, al comparar los metadatos online con Big Data se aprecia la diferencia, no sólo en cu...

Machine learning es una técnica mediante la cual los programas aprenden iterativamente a partir de los datos en lugar de ser estáticos . Los sistemas de machine learning se utilizan para crear un modelo basado en aportación continua que se puede utilizar para hacer predicciones o tomar decisiones. via El valor de la gestión de datos http://ift.tt/2hjYgko

What are significant regions of promoting and deals getting the vast majority of the assistance from Big Data information investigation? For Customer Analytics, 48% of the enormous information utilize cases exist while for the Operational Analytics, 21% of the Big Data information utilize cases are available according to the Forbes report. In a similar report, it was expressed that the Big Data  utilize cases for Optimization of Enterprise Data Warehouse is 10%, New administration and item advancement is 10% and Compliance and Fraud are 12%. This examination uncovers that various are keen on using enormous information for client esteem investigation. There is no compelling reason to state that portable applications are assuming a noteworthy part in capitalizing on the enormous information to drive promoting and deals. The Relationship between Big Data and Mobility The connection between enormous information and portability is a promoter of common development and is proportional ...

Small Data is not Enough Anymore The hyper connected world we live in generates over 2.5 billion gigabytes of data daily. This comes from social media, messaging, video uploads, and data created by sensors from IoT. Only in the US, there are over 700 million credit cards , and the average user makes about 20 transactions a month. When adding debit cards, reward cards, company transactions and overseas customers, it becomes clear that traditional spreadsheet environments are going to have a hard time keeping up. We can say that dealing with this problem using only small data tools is not enough anymore. Bank-specific Uses of Big Data Although big data can be useful in many verticals, the banking sector faces particular challenges related to risk management, compliance, and fraud, where big data can prove particularly valuable. Real-time Risk Analysis The banking sector is subject to the Basel III framework which aims to protect all banks from capital-related risks, credit risks,...

Big data is a vast collection of data that is collected from various traditional and digital sources. This data is a gold mine for marketing analysts and is a source of constant discovery and interpretation of consumer behavior. Nowadays, analysts are focusing on social media websites and online activities of customers, to collect big data. But big data can only prove to be valuable once you realize the potential of ‘ big-data driven marketing ‘. This specific form of marketing can work wonders for your business. If you learn how to tackle big-data effectively, it can show instant results and improve overall customer engagement. E-commerce is a very dynamic way of selling online and you can achieve even more than your expected profits, if you learn to increase conversion rate optimization. This is when big data insights and analysis will come to your rescue and help to increase the conversion rate on your website. Here are some benefits of using big data, that can help you to reach y...

In this contributed article, Ritesh Mehta, Senior Technical Account Manager for TatvaSoft Australia, discusses the impact big data is having on the global travel industry and offers 5 action points for industry players to adopt in order to capitalize on big data. via insideBIGDATA http://ift.tt/2x4vERZ

Una buena gestión de la calidad de datos es el principal factor de éxito en un proceso de integración de datos . Podría ser considerado como el primer paso del proceso de integración y la clave para conseguir que los datos generen rentabilidad. Las herramientas de business intelligence se basan en gran medida en paneles de control y herramientas analíticas que necesitan integrar datos desde diversas fuentes. Pero siempre, antes de esta integración necesitamos gestionar la calidad de esos datos para asegurarnos que la salida de la herramienta BI sea fiable y nos proporcione ventajas sobre nuestra competencia .     Vista la importancia de un trabajo coordinado y efectivo entre herramientas de integración de datos y de calidad de datos, parece claro que el uso de soluciones líderes puede ser fundamental para garantizar el éxito de estos proyectos . Veamos algunas razones para implantar este tipo de soluciones líderes.   3 razones para utilizar una herramienta de In...

Cuando una organización es capaz de ejecutar de manera correcta una estrategia de datos, la agilidad y la capacidad de respuesta de la empresa junto a una clara ventaja competitiva , son los principales beneficios que pueden esperarse . Por el contrario, aquellas empresas que le dan menos importancia estratégica a sus datos, se encuentran con un panorama de menor crecimiento de ingresos y una competitividad más baja .     Sin embargo, el aspecto más importante de todo esto es entender que la falta de alineación entre TI con el resto de personal de la empresa, en lo que se refiere a estrategias de datos, puede hacerlas fracasar, minimizando el crecimiento esperad o.   Las ventajas del uso inteligente de los datos Utilizar los datos de forma inteligente hace que las empresas aumenten sus ingresos . Es lo que se desprende del informe “The data directive”. Según este informe, el 81% de las empresas de gran crecimiento utilizan los datos mientras que entre las d...

Cuando hablamos de integridad en base de datos nos estamos refiriendo a la completitud, la exactitud y la coherencia del conjunto de datos de una base de datos. Podemos tener una percepción de esta integridad en base de datos cuando vemos que entre dos instancias o entre dos actualizaciones de un registro de datos, no hay ninguna alteración, lo que significa que los datos están intactos y sin cambios. Créditos fotográficos: JohnDWilliams Sentamos las bases de la integridad en base de datos durante la fase de diseño de la database , a través del uso de procedimientos y reglas estándar. A partir de ahí, podemos seguir manteniendo la integridad en base de datos mediante el uso de métodos de comprobación de errores y procedimientos de validación.     El concepto de integridad en base de datos garantiza que todos los datos de una base de datos pueden ser rastreados mediante técnicas de trazabilidad, así como conectarse a otros datos. De esta forma se asegura que todo se...