Tag: Machine Learning

No matter the industry or stage of a startup, there are common challenges and goals. While speaking with founders and technology leaders every day, I noticed common topics such as fundraising, profitability, hiring, regional expansion, and cloud architecture. In this post I’d like to share three technology-driven trends I’m seeing in consumer startups, which address new types of challenges.

Data-driven analytics and machine learning are go-to resources for a wide spectrum of modern industries, from mobility solutions to financial management. Everyone’s looking for the perfect symbiosis of information and output—but what does all that data have to do with corn and cannabis?

Coralogix co-founder and CPO Ariel Assaraf started the company after completing his service in the Israeli army. Here’s his story.

Oceans are made for exploration. That seems to be the subtext of the evocatively named Datameer, which uses Meer, the German word for ocean, to position itself in juxtaposition with data lakes. The name Datameer hints at the immensity and power of data, which shapes lives today in much the same way that ocean currents shaped those in previous centuries. It also hints at the sheer inscrutability of data. For most people, being presented with raw data and asked to interpret it is as bewildering as being presented with a view of a flat sea and told to list statistics about local fish populations. That’s where Datameer comes in.

While fashion is sometimes seen as rarified and impenetrable, the reality is that most people engage with it on a daily basis. After all, everyone has to put on an outfit each morning—and those clothes have to be chosen and purchased somewhere. In Europe, that place is often Zalando.

It’s an understatement to say that the influencer marketing space is highly complex. New influencers, new types of content, and new ways to post and promote said content seem to pop up daily. Studio71, the LA-based digital network I joined seven years ago, has always been a great partner for brands to help them navigate the influencer marketing space.

In 2009, Johannes Reck, a student at the Swiss Federal Institute of Technology in Zurich, arrived in Beijing one day earlier than his friend and classmate, Tao Tao. Tao, who knew Beijing well, was able to serve as a local guide to Reck once he arrived, and the trip was a success. Without Tao, however, Reck found himself at a loss as to where to go or what to do.

Interior design can be a daunting task. But according to Leaperr, a new startup that uses artificial intelligence to help you with interior design, all that may be a thing of the past.

Imagine you’re a car manufacturer who wants to advertise on a news site, but you don’t want your advertisement to run alongside a story about the diesel emissions scandal. Or you sell something in an online shop and need to comb through the reviews, social media feeds and comments to figure out what users want in the next product upgrade or what they think of your customer service. Building a tool that could aggregate and analyze all the keywords, phrases and tonalities—whether the sentiment is positive or negative—would take a couple of years, a specialized development team, and at least half a million dollars. Enter hyScore.io, a customizable API that combines natural language processing and machine learning to create solutions for native advertising, contextual targeting, URL/text inventory searches and any number of other uses.

“My career has been around startups all the way,” says Or Tamir, co-founder and COO of Explorium. “This is something I’ve always wanted to do.” Because startups have composed the foundation and the scaffolding of Tamir’s career, he views the fact he ended up co-founding and helming a project like Explorium as almost inevitable. In a way, it was a logical next step: “co-founder” and “COO” were two of the only job roles in the world of startups that Tamir hadn’t yet tackled.