Tuesday, 22 December 2015

ERP System Provides Flexibility and Security

For many organizations, enterprise resource planning (ERP) is the glue that holds together the fabric of the organization. It provides the data, insight and automation that are essential for operating effectively in today's digital business environment.

At Synalloy, a manufacturer of products and systems incorporating metals and chemicals, the need for a more flexible and agile ERP framework had moved to center stage a few years ago. "We required an ERP system that would help us manage operations and aid in acquisitions," explains Mike Padden, corporate director of IT.

The company, which operates facilities in Georgia, South Carolina, Tennessee and Texas, manufactures items for industries ranging from consumer goods and food producers to automotive and oil and gas companies. Because Synalloy relies on a shared services model and aggressively targets other firms for acquisition, it operates with different companies and divisions.

Consequently, "We needed a system that offered greater flexibility, so that employees could log into each individual company and handle various functions without encountering problems," Padden explains. "We have very different types of businesses with different needs, but we require a standardized set of processes."

In the past, the organization tapped a mix of ERP vendors, and this led to a complex, unwieldy and expensive IT and business framework. It also boosted demands on the IT department.

In many cases, employees attempting to handle tasks had to use four or five different ERP systems and handle processes manually. When they required data in a particular system, it could require lengthy load times.


Super-sharp 3D cameras may come to your smartphone

Many 3D cameras and scanners produce rough images, especially as they get smaller and cheaper. You often need a big laser scanner just to get reasonably accurate results. If MIT researchers have their way, though, even your smartphone could capture 3D images you'd be proud of. They've developed a technique that uses polarized light (like what you see in sunglasses) to increase the resolution of 3D imaging by up to 1,000 times. Their approach combines Microsoft's Kinect (or a similar depth camera), a polarized camera lens and algorithms to create images based on the light intensity from multiple shots. The result is an imager that spots details just hundreds of micrometers across -- you'd be hard-pressed to notice any imperfections.

The concept would need significant tweaking for a smartphone-sized 3D camera, since it revolves around a mechanical filter. You'd likely have to use grids of polarization filters over the sensor, and that would drop the effective resolution. You wouldn't get 23-megapixel cameras for a while, folks. However, it would still be good enough that you could snap a photo of an object from your phone and get a high-quality 3D printout.



Read More: http://www.engadget.com/2015/12/02/polarized-3d-imaging/

Big Data and Hadoop Development 2016

What is Big Data?

Let’s demystify this concept. Simply put, Big Data can be defined as the compilation of huge datasets that can’t be processed making use of conventional computing methodologies. It is neither one single tool nor a procedure. It rather engages multiple areas of technology and business.

Big Data Management & It’s Significance

For companies of every size, data management has gained an added dimension over the years. From being considered as a core competency today it is viewed upon as a crucial differentiator that holds the key to verify market winners. In the recent times, the government bodies as well as Fortune 1000 organizations have immensely benefited from the enhancements brought upon by the web pioneers. Furthermore, these companies are also outlining fresh and revolutionary practices and re-estimating the present strategies to review the methods in which they can convert their businesses with the usage of Big Data. This attempt has made them realize the basic nature and importance of Big Data. Forward thinking organizations today have understood that Big Data indicates a harmonious blend of innovative initiatives and technologies that involves data that is fast-changing, extremely varied and colossal.

However, in this highly developed and high-tech era, that makes it possible for companies to realize the real utility and value that Big Data management entails. For instance, modern day retailers have the choice to keep a track of user web clicks in order to recognize and outline the customer behavioural trends. This in turn allows them to ideate better and enhance their existing marketing and promotional campaigns, pricing structure as well as the stockage. The utilities are able to track the levels of household energy usage and forecast the energy outages and also emphasize on effective consumption of energy. Even government bodies and brands like Google using Big Data management can track and spot the surfacing of disease outbreaks through the social media signs. Furthermore, leading oil and gas corporations can derive the result of sensors in drilling devices in order to arrive at secure and effective drilling decisions.

The Big Data Benefits

Therefore, some of the visible core benefits of Big Data across multiple industry verticals usually include:

Making use of important data in social media platforms like the preferences and product awareness of customers, product organizations and how the retail companies are planning production

Marketing agencies are efficiently utilizing the vital data that is stored in social networking sites like Facebook and constantly updating their know-how about their campaign responses, promotions as well as the advertising channels

Hospitals make use of big data concerning the previous medical history of chosen patients in order to offer fast and improved service

Read More: http://www.smartdatacollective.com/node/365113

Monday, 21 December 2015

Is self-driving technology becoming commoditized?

NEW YORK (Bloomberg) -- George Hotz’s claim that he built a driverless car in his garage has created a debate on Wall Street about the future for automotive technology suppliers such as Mobileye.

The 26-year-old hacker boasted in a Bloomberg Businessweek article that he developed a cheaper alternative to Mobileye technology used by Tesla Motors Inc. and that Elon Musk offered him a “multimillion-dollar bonus with a longer time horizon that pays out as soon as we discontinue Mobileye.” The revelation sent the stock down 7.2 percent that day and wiping out this year’s gains.

While Hotz’s exploits certainly highlight that the computing know-how for autonomous driving is becoming cheaper and more accessible, that doesn’t mean Mobileye’s business model is in trouble, according to research firm Gartner Inc. Mobileye has also locked in contracts with nearly all the top automakers from General Motors to Ford Motor Co.

Hotz’s achievement “demystifies the blackbox surrounding these technologies, and it will continue to increase the commoditization of the components,” Thilo Koslowski, vice president and automotive practice leader at Gartner, said by phone. “The magic still exists in putting it all together and doing it reliably.”

Mobileye’s edge 

That involves having the financial firepower to deal with insurance liabilities, regulatory hurdles, the threat of cyber attacks on connected cars and the absolute perfection of the automated driver-assistance system, he added.

Musk said as much in a tweeted rebuttal to Hotz’s claim: “Getting a machine learning system to be 99% correct is relatively easy, but getting it to be 99.9999% correct, which is where it ultimately needs to be, is vastly more difficult.”

Mobileye co-founder and Chief Technology Officer Amnon Shashua, a computer science professor at the Hebrew University of Jerusalem, called Hotz’s claims “nonsense,” arguing that any student of his could achieve the same in six months.

Read More: https://www.autonews.com/article/20151220/OEM06/151229999/is-self-driving-technology-becoming-commoditized?

5 Massive Trends Firing Up Technology Stocks In 2016

Technology stocks outperformed the stock market this year. Some massive trends should continue firing up the tech sector in 2016 and beyond.

The Technology Select Sector SPDR exchange-traded fund (XLK) and Vanguard Information Technology ETF (VGT) — the two largest tech ETFs — both returned about 3% in this year while the SPDR S&P 500 ETF (SPY) lost 0.7%, according to Morningstar. The biggest drivers in both ETFs were Microsoft (MSFT), +19% gain year to date; Facebook (FB), +33%; and Alphabet (GOOGL), +43%. Apple (AAPL), the biggest holding in both ETFs, shed 2%.

First Trust Dow Jones Internet ETF (FDN) rallied an eye-popping 21% this year. In addition to Facebook (FB) and Alphabet (GOOGL), it has to thank Amazon (AMZN) and Netflix (NFLX) for its outsized pop. The online retailer and video streaming service rocketed a mind-blowing 114% and 142%, respectively, in 2015.

iShares North American Tech-Software (IGV) surged 10% this year. Microsoft (MSFT), +19% year to date; Adobe (ADBE), + 26%; and Salesfore.com (CFM), +30%, led the charge.

Based on fourth-quarter estimates and actual results earlier this year, the technology sector’s sales growth was almost nonexistent at +0.1%, according to FactSet. But it was superior to the S&P 500 (SPY)’s, 3.4% dip. The tech sector is on track to grow earnings by 3.5% for 2015 while S&P 500 (SPY) earnings fall 0.5% .

Read More: http://www.forbes.com/sites/trangho/2015/12/20/5-massive-trends-firing-up-technology-stocks-in-2016/

Technology can keep people in touch

This is the fifth in a series about how technology affects child growth and skill development.

Q: What are some positive effects of technology on child growth and skill development?

A: The Washington Post released a survey of teens in 2012 stating they have incorporated social media sites and texting into their daily lives but still prefer face-to-face communication. They believe these social media technologies have enabled them to keep in touch with more friends, to get acquainted with other students at their schools and to connect with students with whom they share interests. One in five stated using social networking helps them feel more popular, confident and sympathetic toward others.

This national study of more than 1,000 youth between 13 and 17 years of age by the child advocacy group Common Sense Media generally contradicts the myth that using social media is harmful because of the risks of bullying by peers, isolation, online predators and the release of private/personal information. However, the report talked about “Facebook fatigue.” Forty-one percent of cellphone users said they are addicted, and 36 percent would like to return to a time before Facebook was invented.

Many teens expressed weariness from the constant pressure from texting and posting on social media. Teens have mixed feelings about digital communication and online technology. Research about the developmental and behavioral effects of technology on youth is scant.

Teens still favor texting in communicating online, with two-thirds stating they text everyday. Facebook is the preferred social site over Twitter, Google and MySpace. More teens think social networking helps their friendships than those who feel it does not — 50 percent vs. 4 percent. Half of all the teen respondents surveyed preferred real-life communication.

Our collective embrace of the Internet, social media sites and mobile-mediated devices is obvious in public places. Most individuals are connected on media to others, not talking to the person or persons with whom they are sitting. Dr. Keith Hampton, a communications professor at the University of Pennsylvania and principal author of the Pew Research study “Social Networking Sites and Our Lives,” articulated concerns about technology and social relationships.

Read More: http://www.hdnews.net/lifestyle/community/technology-can-keep-people-in-touch/article_8fa055a0-f093-5ef4-99b3-bbbca54fd48e.html

Thursday, 17 December 2015

How to measure the value of big data

Data itself is quite often inconsequential in its own right. Measuring the value of data is a boundless process with endless options and approaches – whether structured or unstructured, data is only as valuable as the business outcomes it makes possible.

It is how we make use of data that allows us to fully recognise its true value and potential to improve our decision making capabilities and, from a business stand point, measure it against the result of positive business outcomes.

There are multiple approaches to improving a business’s decision-making process and to determine the ultimate value of data, including data warehouses, business intelligence systems, and analytics sandboxes and solutions.

These approaches place high emphasis on the importance of every individual data item that goes into these systems and, as a result, highlight the importance of every single outcome linking to business impacts delivered.

Big data characteristics are defined popularly through the four Vs: volume, velocity, variety and veracity. Adapting these four characteristics provides multiple dimensions to the value of data at hand.

Essentially, there is an assumption that the data has great potential, but no one has explored where that might be. Unlike a business intelligence system, where analysts know what information they are seeking, the possibilities of exploring big data are all linked to identifying connections between things we don’t know. It is all about designing the system to decipher this information.