"New year, new job" is a popular saying for a reason.

About one-fifth (22%) of the 3,411 employees recently surveyed by CareerBuilder said their top resolution for this year is to leave their current job and find a new one.

If you're one of these people, you may want to check out openings at H&R Block, Amazon, or Deloitte.

Those three companies are doing some of the heaviest hiring right now for jobs that pay more than $50,000 a year, according Indeed.

The job search engine compiled a list of big US companies currently trying to fill the most full-time jobs that pay over $50,000.The salary data is a combination of company and user input.

Here are the ten big-name companies with the largest number of job openings right now for high-paying jobs:


10. Oracle

10. Oracle

Job openings (for positions paying over $50,000 a year): 1,153

Oracle is a California-based tech company that offers a comprehensive and fully integrated stack of cloud applications, platform services, and engineered systems.

9. Leidos

9. Leidos

Job openings (for positions paying over $50,000 a year): 1,181

The Reston, Virginia-based defense company provides scientific, engineering, systems integration, and technical services and employs about 33,000 people.


8. IBM

8. IBM

Job openings (for positions paying over $50,000 a year): 1,221

International Business Machines Corporation is based in Armonk, New York, and was founded in 1911. 

7. Lockheed Martin

7. Lockheed Martin

Job openings (for positions paying over $50,000 a year): 1,248

The Bethesda, Maryland-based global security and aerospace company employs about 125,000 people worldwide.

6. PNC Bank

6. PNC Bank

Job openings (for positions paying over $50,000 a year): 1,255

PNC has been around since the mid-1800s. With over 50,000 employees, the bank is headquartered in Pittsburgh, Pennsylvania.


5. Booz Allen Hamilton

5. Booz Allen Hamilton

Job openings (for positions paying over $50,000 a year): 1,334

Booz Allen Hamilton is a provider of management consulting, technology, and engineering services to the US government in defense, intelligence, and civil markets.

4. JPMorgan Chase

4. JPMorgan Chase

Job openings (for positions paying over $50,000 a year): 1,690

JPMorgan Chase is a global financial services firm and one of the largest banks in the US, with over 240,000 employees in more than 60 countries.

3. Deloitte

3. Deloitte

Job openings (for positions paying over $50,000 a year): 2,217

Deloitte is a multinational professional services firm with a total global workforce of 244,400. It was founded in London in 1845.

2. Amazon

2. Amazon

Job openings (for positions paying over $50,000 a year): 3,115

Amazon is a Seattle-based e-commerce and cloud computing company. It's the largest online retailer in the US.

1. H&R Block

1. H&R Block

Job openings (for positions paying over $50,000 a year): 5,758The Kansas City-based tax preparation company employs 80,000 tax professionals nationwide. 

Author: Rachel Gillett
Source: http://www.businessinsider.com/companies-hiring-high-paying-jobs-2017-1/#10-oracle-1


Categorized in News & Politics

IBM today announced Watson Analytics Mobile for iPad -- an app that can be used along with a free personal or paid enterprise Watson account.

The app can import data from a cloud-based Watson account into a spreadsheet or CSV format, as well as use apps such as OneDrive and Dropbox to import files. In addition, Twitter hashtags can be entered directly into the app for analysis.

Most features are available to free-account users -- except for analyzing Twitter hashtags, although if you're new to Watson, you'll get a 30-day trial of that.

The app "is not a replacement for the Watson Analytics web application," according to an e-mail from Marc Altshuller, general manager of business analytics at IBM Analytics. "As such, the mobile app focuses primarily on the discovery capabilities." Those include answering ad-hoc questions, using natural language queries to discover patterns in data, and asking questions with voice commands.

In a quick test of the new app, it was clear that Web Watson has considerably more power. Like many mobile apps extracting useful information from data, Watson Analytics Mobile for iPad performed well with sample sales data that had well-understood values such as revenues, expenses, and countries. Some data prep might be useful for other types of data before expecting easy natural-language answers to queries, though.


For example, I loaded in a spreadsheet of Massachusetts early-voting data from the Secretary of State's office, hoping to get some sort of histogram or bar chart showing distribution of early voters, but the bar chart needed some manual fiddling in order to get something close to what I wanted.

And when I asked for the relationship between number of registered voters and percent of early voters, only 100 points were shown on the bubble chart. There are more than 300 cities and towns in the state, and it wasn't clear whether those 100 were a representative sample. In the Web version, all points displayed and there were more choices to create a customized data visualization.

IBM Watson Analytics Mobile-2

One task the app is clearly designed for is monitoring Twitter hashtag sentiments on the go. For fun, I imported a few hash tags about my favorite NFL team, the New York Giants, to check sentiment about the team. There were few "ambivalent" tweets and a lot of positive ones. Not surprisingly, tweets spiked late Sunday, December 11 into the early morning of December 12, when the Giants played a nationally televised evening game and beat the Cowboys 11-1. (The game was the highest rated primetime  regular seasongame in almost three years, excluding kickoff weekend, so Twitter activity was probably unusually high.)


Author:  Sharon Machlis

Source:  http://www.cio.com/article/3151116/analytics/first-look-ibms-watson-analytics-comes-to-the-ipad.html

Categorized in Science & Tech

IBM's question-answering whiz, the Watson computer system, famously beat former winners on Jeopardy in 2011 — and now it's digging into aerospace research and data to help NASA answer questions on the frontier of spaceflight science and make crucial decisions in the moment during air travel.


More than 60 years after the first IBM computing machines showed up in the halls of NASA's Langley Research Center, new work at Langley will use IBM tech to help researchers sort through the huge volumes of data that is generated by aerospace research.


"There's so much data out there that consists of unstructured text that usually only humans can make sense of, but the challenge is that there's too much of it for any human being to read," Chris Codella, an IBM Distinguised Engineer who is working on Watson, told Space.com. "The idea here is to have a Watson system that can be a research development advisor to people who work in the aerospace fields." [Forget Jeopardy: 5 Abilities That Make IBM's Watson Amazing]


Watson operates with what IBM calls cognitive computing — essentially, it draws connections after examining huge volumes of data that is fed to it, and it is able to return highly relevant answers within the fields that data encompasses. The system has been used to analyze connections within medical and scientific research documents, make potential diagnoses, invent recipes and analyze people's personality traits through social media posts. (Plus, of course, play Jeopardy! — after the system drew from Wikipedia to help build its knowledge base.)






Watson is able to respond to questions that it is asked in natural language — or as a human would ask another human, as opposed to through search terms — and unlike a search engine, where more information can muddle the results, Watson returns better answers when the user gives it more detail, Codella said. At Langley, the system will return what it ranks as the most relevant passages in its database when a user asks it a question. While human researchers couldn't hope to internalize all the aerospace research out there, Watson doesn't have that limitation.


"That was the initial emphasis here: Have a system that could read it all, make sense of it all," Codella said. "The number of documents Watson could read is in principle unlimited."


Langley played host to a large IBM mainframe in the early 1960s, which was used to calculate complex flight trajectories as NASA made its first forays into human spaceflight. The upcoming new film "Hidden Figures" features the women of Langley learning to program the great machine; mathematician Katherine Johnson famously checked its numbers before John Glenn launched into space, as well. (IBM has a page about the movie and history online.)


At the time, the computer let researchers take on the many complex, ever-changing calculations that were needed to develop rockets and plot their paths. Now, when electronic computers have number wrangling well covered, Watson lets them wrangle the library of research, too.


Watson researchers are also working with NASA to develop a program that provides important information to pilots "on the fly" — during flight, when they need to make quick decisions and don't have time to gather all the information they might need.


"The very first demonstration system we built was meant to surface relevant information to a pilot in flight," Codella said. NASA "tried to recreate an incident that happened in one of the airlines a few years ago and see if Watson could, when given the background information, surface information that would have made a difference, had the pilot known it at the time."


The real flight the scenario was based on landed successfully, Codella added, but the pilot took some actions that could have made the situation worse. During a simulated test, Watson was able to provide information about the aircraft, equipment malfunction and weather conditions that would have led the pilot to a better understanding of the situation.






"It's going after that tidbit of information that might be so highly relevant, that they might not have been aware of in their own experience, that might make the difference in their decision process," Codella said. He added that the next stage of that project will begin in 2017.


IBM's early computers were housed in large rooms on Langley's campus, but Watson operates on servers that communicate with its users remotely, through the cloud. However, there's one situation where that would be particularly inconvenient: in space or on another planet, where time lag and limited bandwidth slow that stream of communication to a trickle.


Codella described another scenario they've discussed with NASA, where a Watson system would be able to diagnose astronauts' illnesses in flight and offer suggestions for treatment. Perhaps the system could even help operate the ship itself, he added. (IBM has also discussed the possibility of Watson directing a rover on Mars.) With the continued miniaturization of computer components, called Moore's Law, the computational power it requires could someday be miniaturized enough for it to find a home in space, Codella said.


Even as the history of humans performing crucial calculations at Langley is depicted on the big screen, in "Hidden Figures," IBM is helping NASA to write a script for the future role of technology at the agency — where Watson helps read and understand huge libraries of data, reconciling contradictory information and weighing all the options before it picks out the crucial details for a given problem. 



Author:  Sarah Lewin

Source:  http://www.space.com/35042-ibm-watson-computer-nasa-research.html

Categorized in Science & Tech

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