Take what you know and turn it into something extraordinary!
InKNOWvative Concepts is a creative disruption think-tank raising the frequency of limitless possibilities to supplement core business. We are oddballs, pursuing new ways of thinking to help you step outside your risk-free zone and position your company as a trusted leader in your industry.
We strategically examine your objectives and build a brand awareness roadmap tailored to your inbound marketing campaign. We help you analyze your methodology with innovative solutions by addressing challenges, identifying trends and defining approaches for relevant, solution-based strategies leading to your marketing success.
Scientists have developed an algorithm to monitor the underwater chatter of dolphins with the help of machine learning.
Using autonomous underwater sensors, researchers working in the Gulf of Mexico spent two years making recordings of dolphin echolocation clicks.
The result was a data set of 52 million click noises.
To sort through this vast amount of information, the scientists employed an “unsupervised” algorithm that automatically classified the noises into categories.
3D rendering of Risso’s dolphin echolocation click spectra recorded in the Gulf of Mexico, aggregated by an unsupervised learning algorithm. (KaitlinFrasier)
Without being “taught” to recognise patterns that were already known, the algorithm was able to seek original patterns in the data and identify types of click.
This enabled the scientists to determine specific patterns of clicks among the millions of clicks being recorded, and could help them to identify dolphin species in the wild.
“It’s fun to think about how the machine learning algorithms used to suggest music or social media friends to people could be re-interpreted to help with ecological research challenges,” said Dr Kaitlin Frasier of Scripps Institution of Oceanography, the lead author of the study published in the journal PLOS Computational Biology.
Don’t judge a business card by its cover? Ah, yes, I’m afraid so. Business cards, the silent piece of advertisement is scrutinized more than you think. It’s not just the design element potential clients are intrigued or impressed by. They want to learn the meat and potatoes, or the nuts and bolts about what your business has to offer.
Potential clients want to know,
Who you are
Where you are located
What exactly do you do
How can they contact you
How much will your products or service affect their wallet
How long will it take to reach customer satisfaction
Are you trustworthy and what does the BBB have to report about your business
What type of experience do you have supporting your business
Customers are savvier about their spending habits than they have ever been. Also, consumers have trust issue concerns with how they conduct business and the reputation of who they give their dollars to, especially when they have been burned by a business before. There really is more behind the business card than meets the eye.
Have you ever noticed that some individuals in leadership roles tend to ignore or stifle the voices of subordinates who want to share their ideas with the rest of the team? A good leader will not be nervous, feel threatened or intimidated by such team members. Instead, they will listen to what they have to say and encourage them to contribute ideas, foster their achievements and help to spark innovation within the company.
Good leadership encourages healthy brainstorming, by creating tactical moves, conducting research, implementing testing and constantly exploring to bring those collective ideas to the table and making magic happen.
Artificial intelligence is already able to imitate the work of great artists, so why shouldn’t it also be able to spot genuine works from forgeries? In a new paper, researchers at Rutgers University in New Jersey and the Atelier for Restoration & Research of Paintings in the Netherlands examined how machine learning can be harnessed to more effectively spot fakes.
The researchers tested the AI using a data set of 300 digitized drawings consisting of over 80,000 strokes from artists including Pablo Picasso, Henry Matisse and Egon Schiele, among others. Using a deep recurrent neural network (RNN), the AI was able to learn which strokes were typical of each artist, and then used that information to make educated guesses.
The results showed that the AI was able to identify the individual strokes with an accuracy of between 70 to 90%. The researchers also commissioned artists to create fake drawings similar to the originals in the AI’s data set, and in most test settings it was able to detect forgeries with 100% accuracy, simply by looking at a single brushstroke.
Typically fun and work can sometimes be perceived as an oxymoron, instead of a therapeutic medium. Having fun at work does not insinuate we are goofing off or are nonproductive. Keeping the workplace environment rooted in an enjoyable culture can lead to renewed energy, increased contributions of imagination, creativity, innovation, and healthier attitudes within our workforce.
Enjoy what you do, no matter how menial of a task you may think it is. Your work is important to the overall picture. Look at your contributions as being valuable, because they are.
It’s okay to be goofy at times. You don’t have to be so wound up and serious all the time, in order to take your work seriously. It really ain’t that deep, as you make it out to be.
Add an element of tranquility, a little Zen to calm your spiritual juices when needed.
Put a funny, lighthearted cartoon up or some cheery quotes in your range of sight, whether in your cubicle or office space. Don’t let it be one that mocks, humiliates or insults others because it is motivated by undercurrents of “isms.” Keep your humor clean.
People need not dread coming to work because of a hostile work environment. Turn the tides and add some fun elements to help you and your team remain efficient, happy, healthy and productive.
“Innovation distinguishes between a leader and a follower.” -Steve Jobs
Organizations are transforming their sales functions with artificial intelligence to stay ahead of the game. If you have not yet embraced the trend, you are missing a crucial competitive edge.
The emergence of vast amounts of data from multiple sources and platforms, generating new information every minute, has gifted companies with more consumer information than they’ve ever had before. Technology is getting smarter as it continues learning and optimizing recommendations. A study published in MIT Sloan Management Review reveals that “76% of early adopters are targeting higher sales growth with machine learning.”
AI and machine learning in sales: An explainer
Artificial intelligence is the broader concept of machines making decisions or performing process as a human would. Machine learning is an application of artificial intelligence that enables computer models to recognize shapes, designs, and patterns in existing data, allowing the machines to then learn for themselves how to take next action or make business predictions.
Each new piece of data received allows the machine to learn even more, update information, look for new patterns and continuously optimize recommendations. For example, every time Alexa doesn’t get the right command, or Netflix misses the movie recommendation, the model learns from this new data and alters its recognition process to adapt and respond better, or provide better suggestions the next time around.
Intelligent sales: From prospect to client, AI will be sales best friend
We are seeing a paradigm shift in sales from being reactive to proactive, and from instinct-driven to insight and data-driven. AI can guide the sales journey from identification to customer retention. Sales applications can pick up each…Continue reading
It’s worth taking a moment to consider which font will best communicate your information. For example, most people know that Comic Sans is a faux pas for more professional situations. But what fonts should you use?
According to a study we conducted over at Venngage looking at the most popular font types in America, it might be worth basing your font choice on where most of your audience is located.
We analyzed the 50+ fonts we offer to see which font types people favor, and how their preferences vary depending on location. Our analysis focused in on the top 25 most populated cities in America, since they’re the ones creating the most content.