Education centers, especially higher education centers, should take technology cues from the nation’s leading businesses. To be successful, the latest technology has to be leveraged to improve attendance, garner new students, retain current students, and improve the student’s overall experience. The following shows how big businesses are driving sales and gaining new customers, and how education centers can follow suit:
Leverage Data Visualization Software
The nation’s largest organizations understand the power of business intelligence, which is why they invest in data analytics and visualization software. Colleges, especially small technical schools, can benefit from using industry-leading software, such as Tableau or Microsoft Power BI. For a detailed comparison of these solutions, check out – Power BI vs Tableau. Comparing them is essential to learning which system provides the most benefit for a particular institution.
Basically, these programs incorporate all the big data collected from spreadsheets, storyboards, and other software. It then places it in a user-friendly space where it can be analyzed and interpreted by anyone. The benefits are immeasurable. It can help schools identify successful student traits, advertise more effectively, and reveal opportunities previously unseen.
Former Speaker of the United States House of Representatives Tip O’Neill famously said “all politics is local” when referring to the basic principles of his profession. In many ways, the same can be said of analytics. While the internet as a whole is sprawling and its user base massive, this seemingly singular entity is ultimately made up of thousands of different cultures and sub-cultures.
Similar to how a member of Congress wins re-election not by appealing to the nation but to his or her constituents back home, successful data science is less about deciphering the big picture and more about understanding the nuanced reasons why relatively small demographics generate the sorts of data patterns they do over time. To this end, there’s a certain element of anthropology involved in analytics.
Companies in Silicon Valley and other tech hubs around the world are acting accordingly. The decision to outsource analytics is becoming a more common one in these business circles. Rather than a matter of cost, it’s a matter of remaining relevant to a diverse spread of users.
In fact, tech companies in San Francisco and elsewhere are preferring to outsource analytics on an individual basis in order to appeal to a more talented pool of data scientists overseas. Rather than look for existing facilities to transfer duties to bottom dollar staff, businesses are offering enticing arrangements for independent contractors. These often include automatic payment via many international money transfer channels, scheduling freedoms, and access to cloud services for openers. If you are a top-level data scientist in China, India, or Sub-Saharan Africa, it is a good time to be open for business as a self-employed professional.
For tech business leaders getting inspired and are hiring data analytics specialists abroad, it’s critical to note the aforementioned geographical settings are themselves extremely broad generalizations of where the growth in internet users is its ripest. Within China, India, and the Sub-Saharan Africa are many dozens of sub-regions each with their own cultures.
Last weekend, I was invited to talk and critique some of the Startups at the Conquest International Startup Challenge, 2017. It was short sessions of about 20-30 minutes each with the Startups. Most of them are looking for investments. The generic suggestion I mustered up was not to limit to investors in India but to look outside too. The other key missing piece was that they need to hustle a lot.
Here are the Startups I talked to;
Started as a handle on Instagram, Trell went on to become a sensation amongst young travelers, who love to look at pictures of local places to travel to. They leverage the finger-snappy millennials that love photographing places they visit and sharing with their friends and fans.
The Trell App is a buffet of picture-stories of interest to users who want to explore new places with their friends.
The team is doing a good job of hustling with the right audience, they have a really good traction. I was able to give them few technical feedback and suggestions, especially with the UI/UX of the app. They were interested in a more in-depth technical discussion on how to scale their image hosting/delivery mechanism to give their users the best picture quality at the most optimized setup. It is a solved problem and they should not worry too much about it.
As a consultant, you give advice on how to solve problems, you provide recommendations on best practices, and you show people how to use specialized software, equipment, or tools. It’s a great job, but requires hard work to get to the point where people trust your opinion.
The reason you show up day after day at your job is because you need a paycheck. On the surface of it, this looks like a good reason to continue to drag yourself to a place you’ve quietly come to despise and to associate with people with whom you have little in common. But, when you examine your predicament a little more closely, you can be much happier, freer, and more prosperous by becoming a freelancer.
So how do you become a freelancer?
Start by deciding what it is that you love to do. Once you’ve identified what it is—writing or photography, graphic design or making videos, throwing parties or organizing spaces—then it’s time to figure out how to get paid for it from multiple clients.
Next, come up with a business plan and fill in as many details as possible.
Finally, launch the business by building a website. Theoretically, you can launch your freelance business without a website, but it’s so much easier to interest clients if you can direct them to a website that explains what you can do for them.
Of all the modern demands on Artificial Intelligence, “open the pod bay doors” is arguably the most infamous. Years after Kubrick’s 2001: A Space Odyssey, you can ask your own pocket AI. Unlike Siri, HAL 9000, the fictional AI who kept the pod bay doors closed, is a revealing reflection of humanity’s anxieties regarding technology created in one’s own image.
Perhaps the same shared, underlying unease that caused HAL’s misbehavior to still resonate to this day is partly behind Google, DeepMind, Facebook, Amazon, Microsoft and IBMbanding together to police the development and implementation of AI. Notably absent are OpenAI (Elon Musk’s research project) and Apple. The group’s chosen name, “Partnership on AI to Benefit People and Society,” is fairly self-explanatory, if not clunky and slightly sinister. As stated on the Partnership’s website, the group was formed to leverage the “great promise” of AI “for raising the quality of people’s lives” and addressing “important global challenges such as climate change, food, inequality, health, and education.” However, many of the Partnership’s stated goals seem geared towards shaping the future public attitude towards AI via knowledge and reassurance.
Advance public understanding of artificial intelligence.
Create standards for future research.
Support best practices.
Create open discussion.
Further, some of the Partnership’s eight tenets listed on its website almost directly address public concerns regarding AI and its logical conclusion, robot uprising. In general, the tenets involve the following principles:
As many people as possible should be benefited and empowered by AI.
The public should be involved in the development of AI.
Development will be held accountable to “a broad rage of stakeholders.”
Research and development should be conducted with transparency, and systems’ reasoning should be equally transparent, but also explainable.
Development will seek public feedback and address public questions.
The Partnership’s formation, as well as its focus on transparency, public involvement, and ethics, is notably near to the White House’s series of workshops and groups on AI’s risks and benefits. The government’s workshops addressed complex policy, safety and security questions, and also revealed fears that jobs will be lost to AI, and behavior will be unpredictable and uncontrolled.
One must wonder whether the Partnership is less an exercise in selflessness than a strategic maneuvering to control the AI conversation. Arguably, presenting solutions via the Partnership would potentially discourage government regulation, and in so doing avoid regulatory speed bumps to company growth.
Many people enter the world of entrepreneurship and freelancing work because:
Opportunities are available and our culture encourages it,
They want to be their own boss,
They have the skills that the work requires, or
They’ve heard success stories that make them believe it’s possible.
However, many people who go into business for themselves have no real business management experience or other relevant training. They also don’t realize until they’ve begun their business journey that having some type of sales skills are crucial to the work.
The sales process consists of several key steps.
Having or gaining business knowledge,
Approaching the potential client,
The needs assessment,
The close, and
Every sale we make, whether we intend to do it or not, follows this process. Sometimes it just happens naturally. Sometimes, (especially online), customers walk themselves through their own sales processes.
Most experts believe that customers buy for emotional reasons and also because they trust the seller. You will find many marketing gurus, think-tanks and agencies trying to sell you ways to earn potential client trust; many of which are expensive, time-consuming and being done by everyone.
Large brands and companies with good funding resources can afford to invest in substantial marketing campaigns. However, for most freelancers and entrepreneurs, this type of investment is impossible.
How then can you build customer trust and make sales quickly and easily?
Researchers Thomas Travisano and William Brooks stumbled on an interesting fact about the emotional triggers that compel people to buy. They interviewed all types of B2B decision-makers and consumer buyers to figure out what makes them buy some products and services and not others for their book – You’re Working Too Hard to Make the Sale!
They learned that customers buy most frequently from people and brands they feel understand them.
Many sales professionals learn to approach the sales process by finding out what the client’s needs are, and then, telling them how the features of the product or service they sell can meet those needs. Though this is often an effective approach, the researchers found it was more effective to couple this with a sales process carried out by a person that understands the buyers underlying emotional needs. The seller that best understands those needs is the seller that also shares them now or shared them at one point in his or her career or life. An office manager turned sales rep, therefore has a good chance of making sales to office managers that are decision-makers and purchasers of office equipment and so on.
On a personal level, think how much easier it is to take restaurant recommendations from someone you know enjoys the same foods that you do. Similar people have similar pain points. Understanding and addressing pain points are a huge part of making any sale.
Ever since we figured out how to put a computer in every home, someone has been asking the question “will robots or artificial intelligence replace humans in the workforce?” The answer, of course, is yes. They have and will continue to do so as we find areas where a robot can do the work better or where a job is unsafe for a human to do. But the typical robot doing a repetitive job is not necessarily “intelligent”. Artificial Intelligence, on the other hand, is something entirely different.
The theory that computer systems and applications can someday replace humans has been held in both fear and awe. Applications for artificial intelligence, however, continue to drive forward and at a faster pace than ever. As development companies collect user data and build smarter applications, algorithms using that data can make the applications gain abilities making them appear to learn, grow and adapt to surroundings and circumstances. The data can be applied using these algorithms to serve nearly any industry.
Merriam-webster dictionary defines Artificial Intelligence as, “an area of computer science that deals with giving machines the ability to seem like they have human intelligence.”
This means that Artificial Intelligence (AI) is not limited to robots or some sort of android type of computer. Pretty much artificial intelligence is a set of code that learns over time. So does this mean AI can really advance to the point where it takes over our daily lives and takes the place of humans in every way? The answer is possibly.
For years we have all worried that we would be replaced by robots and to some extent that has come to pass. So why shouldn’t AI replace us in some fashion in the future?
A few of these jobs might look something like this:
But what if instead of removing the need for human knowledge worker, AIs actually enhanced the workplace and made more jobs for humans in the long run. Machines running programs have taken much of the human error out of documenting many types of information and doing precise tasks.
But the need for a human to somehow enter this information into the program still exists. So even though artificial intelligence is capable of “learning” quickly. How do you replace a life time of intuition that a human accumulates in a short amount of time?
Some areas where a life this life experience will still be valuable are:
Healthcare social workers
Physicians and surgeons – even though robots are being used extensively in this field the human touch may still be needed
First-line supervisors of police and detectives
Elementary School Teachers – this may be a grey area also, some technology will move into these jobs but there is still some need for humans.
There is no stopping the progress of this technology and who knows what will happen in the future. We just need to restructure and educate our workforce to compensate so humans and Artificial Intelligence can be put in areas where each are best suited for the job at hand.
Recently, TechRepublic concisely noted some of the most exciting trends in the field even beyond robotic factory workers and driverless cars. Application of AI into customer service, data processing, and even our children’s toys mean that we will see AI in our personal lives and in our work to a greater extent.
Walk through any big-box retailer and observe everyday items connected to the Internet – our cars, our refrigerators, our televisions – the tech companies at the forefront of AI are gathering data on us and how we live, what we like or dislike at heightened speeds and with greater capacity. Using this data, companies can improve our customer experience at a deeper level when computers adapt to understand emotions by listening to the tone of voice and using facial recognition looking for subtle changes in expression.
At the core of our understanding and use of artificial intelligence remains discovery into the ethical issues surrounding the topic. Is it right to replace workers? How much data is too much? Are there risks to continuing this trend? Some of these questions would have highly personal answers. How we respond as a collective may influence the direction this trend takes in the future.
Here is an interesting video from ColdFusion TV – What is Artificial Intelligence Exactly?
If you’re planning to start a business or a startup, it’s valuable to learn about life and the flow of business from people who have navigated their own paths to success. Though it’s true, no matter who you learn from or what college you attend, ultimately, everyone has to make his or her own way to success. However, no one can make it without borrowing a proven effective strategy or two from someone else.
Turner, known as a successful investor, entrepreneur and philanthropist will also go down in history for his instrumental roles in amending ERISA legislation and lowering the US capital gains tax to 28% from 49%.
Small Biz Trends contributor Scott Shane shared some of the valuable business lessons he learned from Morgenthaler over the years.
What Can Entrepreneurs, Startup Founders and Investors Learn from Morgenthaler?
On Startup Founding and Success
Startup success is challenging. Most of the factors that contribute to a startup’s success aren’t factors founders can control. In fact, Morgenthaler equated startup success to, “making lightning strike the bottom of a swimming pool on a sunny day.”
Startup investing isn’t a guaranteed money maker. Startup investments only produce returns about 10% of the time. Investors should be prepared to lose money often.
On Investing, Entrepreneurship and Business Strategy
Successful investing can come from doing adequate research and knowing everything about a company’s management, their organization, their market and their industry.
However, the most important element in the equation is the entrepreneur or management team. The right person/people can change organizational factors and create success. In fact, he felt most startups and entrepreneurial endeavors failed because the business owners and founders, (the people), made mistakes.
Successful business heads gather in places where realistic success is plentiful. They leave dead places where new business and investment can’t flourish. This is why you see so many entrepreneurs in Silicon Valley.
Intelligence is not the same thing as getting a lucky break and profiting from it.
It’s not being an intellectual snob and discounting the input of everyone around you with a good idea; and
Good ideas must also be provable. They must be possible. They must conform to the standards of natural laws like gravity etc.
As negative experiences with supervisors constitute the number one reasons employees leave companies, it is impossible to over-emphasize the importance of maintaining positive relations between managers and employees. Particularly important in small, Startup businesses where managers and employees tend to work extremely closely, building and maintaining strong relationships forms an important part of the company’s foundation.
Here are six simple steps how managers can build mutual trust and respect with their employees, ensuring long-term dedication and retention.
Listen: Taking employees seriously shows respect and encourages communication. Opening the doors for communication dramatically improves the manager-employee relationship as employees know their voices are heard, their opinions matter, and they have a say in their jobs.
Cut the Crap: Say what is true and needs to be said. Flattery, rumors, avoiding real issues, and other kinds of unnecessary word-play do not fool anyone.
Appreciate: Take the time to thank employees for a job well done. Not only does this demonstrate attention and involvement, it inspires them to keep up good work, knowing that it does not go unnoticed.
Work Together: Projects that result in more interaction also result in mentoring and growth on both sides. The obvious result is employee growth, but other benefits include building mutual respect and rapport, sharing the work-load.
Feedback: Positive or negative, employees sometimes need an outside voice to give feedback before they can fully understand their performance. Managerial input offers them the chance to understand their work from a new and necessary perspective.
Growth: Managers who provide purposeful opportunities for growth for their employees are investing in both the employee and the company — a fact that is not lost on the employees.
Following the basic strategies of listening, honesty, being appreciative, purposeful mentoring, consistent feedback, and strategic growth opportunities sets up a positive atmosphere of communication and respect by demonstrating interest in the employees’ productivity and their overall work experience. With time and commitment, building these traits can change the atmosphere of a workplace, securing dedicated employees and building strong and effective teams.