5 Key Data Science

1. Automation

This is a huge one, especially with AI and machine learning growing in popularity. As a whole, automation means quite a few things, namely the steady and autonomous operation of a particular process or system.

A series of software tools and algorithms will be used to ingest, filter and highlight data that can be further analyzed.

You’d be forgiven for thinking automation would make data scientists obsolete. A lot of negative talk surrounds automation, particularly about uprooting jobs and careers. That’s not the case in data science, however.

Experts and experienced scientists will still be needed to highlight, identify and implement actionable insights. You can expect to see a lot of automation platforms crop up in the industry over the coming year.

2. Data Empowerment

Data empowerment is another important movement to keep your eye on. In some ways, “empowerment” sounds bold — even a little ominous. It’s just a buzzword though, used to explain a boost in data effectiveness for many parties.

To put it simply, the data and information that a company or organization is collecting doesn’t just belong hidden on a remote server somewhere, gathering dust. Furthermore, just because a chunk of data is not useful to the collector doesn’t mean it’s not useful to someone else.

Data empowerment is about the alignment or collaboration of everyone involved in a system. It means that everyone has access to the same tools and resources and the same data stores.

More importantly, it means putting data in the hands of the right people — those who can make use of it.

3. Ethics and Influence

The debate over the ethical and social implications of data science, artificial intelligence and even cloud storage will probably never end. Privacy, security and automation have all become increasing concerns in the current landscape, even among consumers.

The point here is not that the ethics or influence of the industry and related systems will change over the coming year, but that discussions will continue. New applications for data science are discovered on an almost daily basis. Data engineers, scientists, analysts and even administrators will need to join the discussion to let others know now this technology can help others.

After all, you are the ones responsible for creating, developing and maintaining these technologies and systems. What is it you have to share with the world? What can you explain or provide insights about?

You could introduce the positive side of data analytics and collection, for instance, by explaining how it’s helping to fight modern battles and keeping America safer. Or how it’s providing modern conveniences to many — conveniences like personalized shopping campaigns, better home security and more.

2018 will be the year that data science professionals become a part of the greater discourse.

4. Data Lakes and Mass Cleanups

At this point, a wide variety of parties and organizations have been collecting and storing data in departmental silos.

This process results in what many like to call a data swamp or even a dump. It’s a mass void of raw data, information and potential insights. The problem is, it needs to be cleaned up, skimmed and organized.

Cleaning a swamp and converting it into a data lake calls for categorizing, attaching relevant metadata and sorting everything into the appropriate storage segments.

Expect a boom in data restructuring as more organizations and parties realize how beneficial data lakes are.

5. Blockchain App Development

Attention for cryptocurrencies like Bitcoin and the underlying mechanics of blockchain have exploded over the past year. That response will continue well into 2018, namely because of the implications blockchain has to a great many industries.

This attention will call for more demand in the development world as teams look to work with blockchain and implement it into their products, services and systems. In the financial and healthcare industries, for example, a lot of work is being done to introduce blockchain-powered platforms.

Clearly, some trends in data science aren’t going away in 2018, and they’ll probably be around for much longer than that. Keep an eye on the field and watch your company or career evolve.

Learning a Language the Effective Way

With globalization our generation’s defining feature, knowing each other’s languages is growing increasingly important. Many of us want to know another language for business purposes, others for romantic reasons, while others yet are simply interested in learning a new language as a recreational hobby. There are numerous ways to approach learning languages, but we’re here to give you the best advice. If you could afford the money, to take time off of your responsibilities, and had the desire to do so, the fastest way to learn a language is through complete immersion by going and living in a country that speaks your target language. The next fastest way?

Rosetta Stone’s founder Allen Stoltzfus learned German through immersion while living in Germany. This inspired him to create Rosetta Stone. The easy to use platform aims to immerse you in your target language. Short exercises and tutorials make language learning accessible. While you certainly don’t usually have six months of free time to move to another country to learn a language, you don’t always have six hours available either. Rosetta Stone works with its users so that, even if you only have six minutes available each day, you can continue making progress in your target language.

Worried your language won’t be represented? Rosetta Stone offers over 28 language courses, from Mandarin Chinese to Swahili. What’s more, through its Endangered Language Program, Rosetta Stone is giving back and allowing indigenous communities to not only preserve their language, but profit by owning the rights to the software they help create to aid in teaching their languages. Whatever language you want to learn, whether it’s as mainstream as Italian or obscure as Inuktitut, Rosetta Stone has you covered.

Rosetta Stone is an awesome language-learning tool, and it is priced accordingly. If you’re concerned about the price, consider taking advantage of a Groupon Coupon. They are super easy to use and will save you a lot of money. Groupon is a site that leverages an economy of scale, lowering the price of thousands of offerings, including Rosetta Stone.

If you don’t have the free time to venture abroad right now, don’t feel bad, and certainly don’t let your language learning wait until you someday have the opportunity. Learning a language can now be performed almost anywhere, anytime. Rosetta Stone has mobile apps, so you can practice your language while on your commute, walking the dog, or going shopping.

Trends Changing How You Hire in 2018 and Beyond

1. Diversity is the new global mindset

Diversity used to be a box that companies checked. But today, diversity is directly tied to company culture and financial performance. Our data shows that 78% of companies prioritize diversity to improve culture and 62% do so to boost financial performance.

Key forces are at play here: changing demographics are diversifying our communities, shrinking talent pools for companies that don’t adapt. Growing evidence that diverse teams are more productive, more innovative, and more engaged also makes it hard to ignore

2. Reinventing the interview process with new tools that allow you to understand candidates better

Traditional interviews are not going anywhere any time soon, but they have been proven to be an ineffective way to read candidates. They can even undercut the impact of more useful information and introduce more bias.

For example, attractive and charismatic interviewees aren’t necessarily more capable, but we unconsciously assume they are. In our survey, respondents noted the bias problem in traditional interviews as well as their limited ability to assess soft skills and weaknesses. It’s hard to evaluate grit in a candidate or spot disorganization simply by having a chat.

3. Data is the new corporate superpower

Talent acquisition has always been a people profession. But nowadays it’s a numbers profession too. Our research shows that most recruiters and hiring managers use data in their work now and even more are likely to use it in the next two years.

Now, it’s true — data informing talent decisions isn’t a new concept. But what is new is the volume of data available and the speed with which it can be analyzed. What’s new is that data can be used to predict hiring outcomes, not just track them. What’s new is that data can power machines to make smarter recruiting decisions for you, a.k.a. Artificial intelligence (AI).

The most sophisticated companies are piecing together every bit of data they have to try to compete. Just as they might have a social media strategy or an events strategy, they now have a talent intelligence strategy too.

Changes in the Legal Job Market Impacting New Lawyers

The Double-Edged Sword of Technology

A decade ago, new associates were given a Blackberry upon joining a firm. And they were excited about it! While there was an expectation that associates would be available beyond their work hours even then, now the expectation is truly 24-7. Young lawyers know they are entering a profession in which they will be always be on-call. Learning to juggle client and supervisor expectations while also having a life outside of work can be a big challenge. At the same time, advances in technology have made working remotely much more feasible. This often allows attorneys the flexibility to get their work done on their own terms, rather than always having to be physically at the office. Many firms, taking note that balance is important to young lawyers, have adopted flexible work policies and shared office spaces that accommodate flexible schedules.

Increased Salaries, Increased Debt

Starting salaries in Big Law have increased from $125,000 to $180,000 during the past decade. During the same time period, the average law school student debt load also has increased dramatically. As a result, the pressure to find a high-paying position straight out of school is higher than ever before. Young associates have the opportunity to make a lot of money early in their careers, but need to be extremely savvy about financial planning to determine how they will use that money to pay down their debt and live life.

A Focus on Increased Training and Exit Opportunities

Young lawyers entering private practice 10-15 years ago may not have been set on partnership, but most saw it as a viable option. Today, few associates expect to make partner, and many simply don’t want to do so. Some intend only to stay at a large firm or in private practice to get training and pay off their law school debt. Whatever the reason, most entry level lawyers will change jobs within their first three years of practice, and most likely several times during their career. As a result, in their job search, law students tend to focus on how working for a particular employer will help them achieve their longer-term career goals. Firms, knowing that associates want not just a good place to work but also a good springboard for future opportunities, are responding by providing increased continuing education, career development and mentoring opportunities.  Many firms now have in-house professional development staff to create and run these programs. Many firms have also created alumni clubs to help departing lawyers stay connected to the firm and to each other.

Unique Mentoring Opportunities

Because lawyers are living longer, working longer and less likely to retire early, more generations are working under one roof today than they did 10-15 years ago. As a result, lawyers working within a firm have very different work styles, expectations and technology comfort levels. While navigating this setting can be challenging, it also provides new lawyers unique mentoring opportunities across generational lines. Firms are taking advantage of these opportunities and recognizing the importance of mentoring and sponsorship to retention across the board, and specifically for the advancement of women and diverse attorneys.

Uncertainty around the Lawyer’s Role

In the last decade, much of the work that used to be done by junior associates is now being outsourced through legal process outsourcing, and more work could soon be taken from junior associates due to advances in Artificial Intelligence.  At the same time, clients do not want to pay to train junior associates, and expect firms to write off the time that used to form the bread and butter of a junior associate’s billable hours. In-house legal departments, seeking to keep costs down, are more frequently in-sourcing work rather than relying on outside counsel. Taken together, this indicates that the future of legal practice is much cloudier than it was 10 years ago.