Sisense nabs $100M at a $1B+ valuation for accessible big data business analytics

Sisense, an enterprise startup that has built a business analytics business out of the premise of making big data as accessible as possible to users — whether it be through graphics on mobile or desktop apps, or spoken through Alexa — is announcing a big round of funding today and a large jump in valuation to underscore its traction. The company has picked up $100 million in a growth round of funding that catapults Sisense’s valuation to over $1 billion, funding that it plans to use to continue building out its tech, as well as for sales, marketing and development efforts. For context, this is a huge jump: The company was valued at only around $325 million in 2016 when …

Where top VCs are investing in digital health

The world of healthcare has notoriously been described as “broken” — plagued with high-friction workflows, sky-high costs and convoluted business models. Over the past several years, a long list of innovative startups and salivating venture investors have pinned their focus on repairing the healthcare industry, but its digital transformation still appears to be in the very early innings. After a record-setting 2018, however, digital health investing continued to reach meteoric heights in 2019. Mammoth pools of capital have flooded into various sub-verticals and business models, backing collections of new B2B and B2C companies focused on optimizing healthcare workflows, improving healthcare access and offering lower-cost distribution models. Over the past two years, digital health startups have raised well over $10 billion …

When and how to build out your data science team

Ganes Kesari $15.7 trillion to the global economy by 2030. Contrary to popular belief, successfully implementing AI to drive impactful decisions requires a diverse team with expertise in several skill sets. Launching your AI journey is no simple feat — you need to ask probing questions to ensure that the relevant data science projects are embarked upon at the right time. Plus, you need to make sure that you build out an effective team that can turn data into decisions. When should businesses take the AI leap? Original Article : HERE ; The Ultimate Survival Food: The Lost Ways

Cervest raises 3.7M for Earth Science AI platform to predict climate effects

Climate risk, including extreme events and the related pressures our environment, are fundamentally affecting the way businesses and governments operate — both tactically and strategically. Increasing climate volatility is causing food supply disruptions and increasing pressure on Enterprises (including financial institutions, insurers and producers) to disclose what’s going on. The trouble is, while there is a lot of data about all this, its complexity, incompleteness and sheer volume is too vast for humans to process with the tools available today. So just as the climate changes, we are faced with “data chaos.” Equally, other parts of the world suffer from data scarcity, making it much harder to provide useful and timely analysis. So the challenge is to address these issues …