Data scientists have the potential to help save the world

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Data scientists have the potential to help save the world

With an untold number of crises emerging every year, big data is becoming increasingly important for helping aid organisations respond quickly to chaotic and evolving situations.

Organisations have long used data analytics to inform their strategies but, with the rise of big data, they now lack the skills necessary to harness the full depth of insights it can provide. This is due to the sheer volume of data being generated every day, and the complexity of interpreting it all. These insights enable better decision making on everything from solving societal difficulties and improving consumer quality of life, to responding to humanitarian crises and guiding defence and security.

Being able to dive into this data and understand which parts matter most is a skill growing rapidly in demand.  Data scientists are the talented individuals tasked with understanding big data and identifying its insights for organisations.

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Great Digital Marketing Ideas You Should Be Using in 2017

There are so many forms of digital marketing being used today. They include podcasts, mobile apps, digital TV and so much more. With all these options, it can be hard for you to stay ahead of the curve. The best thing is that there are a couple of things that you can do to increase your chances of success. Here are some of the best things you can do to achieve more success when it comes to online marketing.

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The shocking details you reveal about yourself when you ‘like’ things on Facebook

Political campaigns and marketers have found new ways to analyze consumer behavior

How well do you think your Facebook account knows you?

As the power of the “like” grows, political campaigns and companies are harnessing it to influence and track the public’s behavior. Last month, Congress repealed laws passed by the Federal Communications Commission on what data internet service providers could collect on users. In a nutshell: Your browser history could now be sold to advertisers without your consent. If this new rule went into effect, it would allow for “incredibly intrusive data-mining” by companies online, said Cory Doctorow, activist at the Electronic Frontier Foundation, which advocates for online privacy.

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How The Internet Marketing Industry Got A Bad Name

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How The Internet Marketing Industry Got A Bad Name

When is the last time you had a great dental experience with your internet marketing provider?

This may seem like an odd question at first and leave you thinking, “huh?” Yet what is even stranger is that your web marketing provider could be just as qualified to do your dental work as they are to provide you with effective internet marketing.

Internet marketing can be a scary decision for business owners because there are no minimum formal education requirements to provide marketing solutions for businesses. This lack of education and standardized industry protocol is why the internet marketing industry initially got such a bad name.

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4 reasons why most data science projects fail

Experts have called 2017 the year of data literacy and digital transformation. While data is a key component that drives true digital transformation, too often companies approach data and analytics projects the wrong way. In fact, a mere 13% of data and analytics projects reach completion, and of those that do, only 8% of company leadership report being completely satisfied with the outcome.

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On topic: Tech news to know now

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Ten Things the HR People Are Thinking About You

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Ten Things the HR People Are Thinking About You

At a Brooklyn conference, human resources reps tackled the big issues of their business: diversity, employer branding, and sending out “exploding offers”

HR people are people, too.

They don’t like it when hiring managers bring in their laptops to interview candidates. (Yes, that is rude.) They also don’t like rushing job prospects through making a final decision—the wrong fit only makes their lives harder in the end. And they also care about looks: employer branding was the most-discussed topic at HR Uncubed, a two-day conference for innovative companies held last week at Williamsburg’s Brooklyn Brewery, Wythe Hotel, and Dobbin Street.

Uncubed, which was founded in Brooklyn in 2012, is an event- and video-based job platform where employers upload classes about what it’s actually like to work at their companies in an effort to attract top talent. Uncubed’s mission is to “make work human” again through connection and to break free from the cubicle zones pioneered by designer Herman Miller in the 1960s. Their first HR-specific conference attracted speakers from the New York Times, Refinery29, Spotify, Kickstarter, among other big names.

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Habits are easy to make and hard to break, could the Way of Life app be the solution?

Habits are such a fickle thing

 

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5 Digital Marketing Tactics To Drive Immediate Results For Your Brand Online

Even though change happens fast in the digital space, results from digital marketing campaigns are not always quick to materialize.

Certain marketing tactics are simply not designed to deliver overnight results. Search engine optimization is a process that takes months of dedicated effort before your brand will begin achieving page 1 visibility for desired terms. Similarly, content marketing requires heavy investment upfront before you start seeing results much later down the line. It’s not that these aren’t valuable marketing channels, but not all businesses can afford to be so patient. For new businesses just starting out, or any business that’s trying to generate a quick influx of sales, waiting months to see the effects of your marketing strategy isn’t always an option.

Fortunately, if short-term gains are what you’re seeking, there are tactics you can employ to generate results quickly. Certain marketing channels are designed for precisely that purpose. Here we explore five ways to use digital marketing to drive immediate results for your business.

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Data scientist at TED: Algorithms are a ‘weapon of math destruction’ that need to be regulated

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Data scientist at TED: Algorithms are a ‘weapon of math destruction’ that need to be regulated

Algorithms are increasingly prevalent in everything we do, from getting insurance to applying to jobs (if the algorithm doesn’t pick your application from a big pile, good luck). While it may seem like these computer calculations are objective measures of whether someone is qualified for a certain position or home loan, human bias is always behind them.

Cathy O’Neil, a data scientist and founder of ORCAA Algorithmic Auditing, had a message for the audience at the 2017 TED talks: “We need to demand accountability from our algorithmic overlords.”

During one of the most popular talks of the Wednesday evening TED sessions, O’Neil laid out the various ways that algorithms can go wrong.

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It’s Not Clairvoyance, It’s Data Science

We’re in a fierce era of ever-increasing competition for great, reliable data.  Around a decade ago, at the start of the Big Data boom, businesses were just beginning to devise ways to capture and record data.  Today, we’re asking, “How do we make our data stronger to deliver insights that are more meaningful?”

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Citizen data scientist trend compensates for lack of skills

Self-service analytics tools are fueling the citizen data scientist trend, helping companies compensate for a lack of analytics skills in the market and making analytics more accessible.

There’s no doubt that data science has been a game-changer for some businesses. But data scientists, the magicians behind the curtain, remain elusive. So, rather than pursue the unattainable, some enterprises are opting to put the power of data science in the hands of business teams.

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Five Phases of Big Data Projects

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Five Phases of Big Data Projects

First, identify the data and brainstorm a use case. Then make sure everything’s in place to make it work.

Enterprises today have a mass of data to analyze—whether from their own database systems, machines equipped with sensors, real-time business transactions, or ecommerce. Often they will embark on a “Big Data” effort in hopes of achieving a business objective—whether more sales, a better customer experience, reduced fraud, optimized production, or predictive maintenance.

“There is increasing pressure on analytics teams to reduce time to insight and answer questions faster,” according to a recent TDWI paper on “Best Practices for a Successful Big Data Journey.” “Yet big data has introduced many new forms of complexity.”

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80% of consumers forget branded content after 3 days

After all of the consumer and market research, the long days, the design and implementation process, how long does your delicately crafted branded content stick in consumers’ minds?

Well, according to research by Prezi, for 80% of consumers the answer is three days.

The research, carried out in conjunction with renowned cognitive neuroscientist Dr Carmen Simon, found that the main three reasons consumers forget content are:

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IBM To Introduce Watson-Powered Video Analysis This Year

A new cloud service by IBM aims to help companies extract metadata from raw video footage, the company said today. The new tool uses the artificial intelligence (AI) capabilities from IBM’s Watson platform to analyze video for information such as keywords, main concepts, visual imagery, tone, and emotional context.

“The service highlights IBM’s continued focus on combining artificial intelligence with the IBM Cloud to help media and entertainment companies make sense of unstructured data and make more informed decisions about the content they create, acquire and deliver to viewers,” the company said. Although the new service does not yet have a name, the company said it is planning to launch sometime later this year.

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Everything you wanted to know about Facebook’s F8

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Everything you wanted to know about Facebook’s F8

What you missed at Facebook F8

On Tuesday, Facebook kicked off its annual F8 Developer Conference. San Jose’s McEnery Convention Center was abuzz with innovation and I was abuzz with excitement — and perhaps a few too many complimentary espresso shots — as I learned what the social media giant has been working on recently.

Here’s a brief breakdown of what Facebook’s unleashed:

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Has HR Technology Been Changing? Do You Think?

In the last five years alone, HR technology has moved from one era to another. The cloud, social applications in the enterprise, analytics and mobile are changing its course for everyone.

The entire 30th anniversary print edition of the magazine would have to be devoted exclusively to HR technology in order to cover its changes and transformations since 1987. Instead, let’s focus just on the last five years, starting in 2012.

Turns out 2012 was a critical year — marking an inflection point in HR technology: The end of one era and the beginning of another.

Two of our industry’s giants — Jim Holincheck, then a Gartner analyst, and Lexy Martin, the mother of the definitive HR Systems Survey — both wrote about it. Jim called it a “generational shift in computing.”

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How To Build A Big Data Engineering Team

Companies are digitizing and pushing all their operational functions and workflows into IT systems that benefit from so-called ‘big data’ analytics. Using this approach, firms can start to analyze the massive firehose stream of data now being recorded by the Internet of Things (IoT) with its sensors and lasers designed to monitor physical equipment. They can also start to ingest and crunch through the data streams being produced in every corner of the what is now a software-driven data-driven business model.

All well and good, but who is going to do all this work? It looks like your company just had to establish a data engineering department.

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Data scientists really love their jobs, survey finds

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Data scientists really love their jobs, survey finds

According to a CrowdFlower survey, more than 90 percent of data scientists said they were happy doing their jobs, and nearly 50 percent said they were thrilled.

A new study by AI firm CrowdFlower reveals that a majority of data scientists feel as though they’ve landed this century’s sexiest job. While the sexiness is debatable, it’s clear that job satisfaction rates are high within this burgeoning career path.

According to the study, more than 90 percent of data scientists surveyed said they were happy doing their jobs, and nearly 50 percent said they were thrilled.

Data scientists are effectively the human engine behind today’s most pivotal technologies, including artificial intelligence, machine learning, and algorithms and analytics. This report suggests most practicing data scientists are well aware of their importance and relish the job stability.

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4 Major HR Trends You’ll See In 2017

We are already three months past the beginning of 2017, and some HR trends and practices are being redesigned or newly created. While we have seen a dramatic few years down the line in the past; with many new practices and the discontinuity of some obsolete systems, it’s time to look out for the HR Trends 2017; which are going to be in the spotlight. We have rounded up a list of the 4 major trends of 2017 out of the many, which are worth considering.

HR Trends 2017 – An Insight

Ditching the Annual Review System – Time to Rethink

Big-shot companies like GE, Adobe, Accenture, Deloitte, and SAP (recently) announced their decision to ditch the annual performance review system, during 2015-16. After which, many other companies also followed their footsteps. This led to an increasing trend of breaking with the traditional performance review system.

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Identifying Data Bias Early

Everyone loves an employee who comes to work early, a student who arrives early to class, or a first date that shows up early.

For analytics, and especially for machine learning, early is the best time to discover data bias.

Data bias is a shift in data accuracy. For machine learning, that shift creates a dangerous signal that can mislead a model.   Machine learning applies a judgment on data that is the basis for a regression model, a predictive model, or a decision tree.

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Machine Learning Tools You Should Know About

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Machine Learning Tools You Should Know About

Artificial intelligence, big data, and hybrid cloud computing have made a significant impact on the business industry. Joining this list is machine learning. This new advancement in business technology provides machines with the ability to learn data and store information without being specifically programed to do so. Machine learning tends to focus on developing computer programs that are able to make the necessary adjustments when new data presents itself.

Every new development in the technological industry is followed by new tools. These tools work to help businesses and users stay up to date with all the technological advancements. Some specific tools that will help businesses as they incorporate and work with machine learning are Amazon Machine Learning, Tensor Flow, Azure Machine Learning Studio, H20, Caffe, MLlib, and Torch.

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Busting the 7 Biggest Employer Branding Myths of All Time.

Based on Google Trends data and anecdotal evidence in the form of podcast topics in the HR, this is the year of Employer Brand (at least in the talent acquisition community).

I say this like people who say this is the year of women in Hollywood or the year of mobile in tech, that is with tongue firmly in cheek, knowing full-well that employer brand has always been important, whether we listen to expert-stocked panels at conferences.

But ask ten people what an employer brand is and where it comes from and you’ll get ten answers, which is no way to facilitate growth.

So by way to establishing a definition and getting everyone on the same page, here are the seven most common myths about employer brand…busted.

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How Anaconda’s data science platform will help IBM speed up enterprise machine learning adoption

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How Anaconda’s data science platform will help IBM speed up enterprise machine learning adoption

IBM announced that it will offer open data science platform Anaconda on IBM Cognitive Systems. Here’s how it could help your business.

On Monday, IBM announced that it has partnered with Continuum Analytics to offer open data science platform Anaconda on IBM Cognitive Systems. Anaconda, which is powered by Python, will also integrate with IBM’s PowerAI software for machine learning and deep learning, making it easier and faster for businesses to analyze and gain insights from data-intensive cognitive workloads.

“Anaconda is an important capability for developers building cognitive solutions, and now it’s available on IBM’s high performance deep learning platform,” said Bob Picciano, senior vice president of Cognitive Systems, in a press release. “Anaconda on IBM Cognitive Systems empowers developers and data scientists to build and deploy deep learning applications that are ready to scale.”

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Software Engineering Has Become Way More than Coding

Software engineering firm Cambridge Consultants notes that among their hundreds of engineers, most are involved in design. Few actually do coding.

In spite of common misperceptions, software engineers are not strapped to workstations slaving over code. Code may have been a central facet of software activity in past years, but that is changing as companies incorporate more software into their products to improve and differentiate them. Software engineers are moving from coding to design and from design to management.

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‘The engine of change’: SAS Institute says it wants to bring its analytics everywhere

At the company’s annual user conference in Orlando, Dr. Jim Goodnight, CEO of analytics giant SAS Institute, told the over 5,600 users in attendance and more than 30,000 joining via live stream that SAS is on a mission to bring analytics everywhere.

“And if analytics is the engine of change, data is the fuel,” he said. “The opportunity is enormous.”

The company’s growth illustrates that. When Goodnight co-founded the SAS Institute in 1976, analytics was a niche technology. That first year the company made US$138,000. But along with the explosion of data came the need to do something with it, and analytics finally took off. In 2016, SAS made US$3.2 billion, had over 83,000 customers and over 14,000 employees (almost 350 in Canada).

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The Future Of Social: Crowd-Sourcing And Artificial Intelligence

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The Future Of Social: Crowd-Sourcing And Artificial Intelligence

In 2005, 5% of adults in the U.S. were on social media; today it’s around 70%. Facebook has over 1.65 billion users engaging for more than 50 minutes per day. Social media is ubiquitous, and smart brands are sprinting to keep pace. But what about getting ahead of the curve?

What has evolved beyond Social Monitoring to Social Listening is now poised to enter a 3.0 phase in which crowd-sourcing and artificial intelligence will play pivotal roles.

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How Colleges Use Big Data to Target the Students They Want

By tracking prospective pupils’ digital footprints, schools can make calculated decisions about their admissions outreach—for a price.

A decade ago, Saint Louis University found itself in a precarious situation. About half of the university’s 8,600 undergraduates were from Missouri and Illinois, and the demographic forecast for the Midwest looked bleak: the number of high-school graduates from the region was projected to drop by nearly a third by 2028.

So the university started to dig deeper for prospects in its backyard, purchasing more names of prospective high-school students from the College Board and ACT and targeting those teenagers with marketing materials. At one point, admissions officials at Saint Louis University were buying upwards of 250,000 names annually.

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On Topic: Tech news to know now

Here’s what’s going on in tech…

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