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Articles by Mark Gorenberg
PCAST Releases Technology and the Future of Cities Report to the President
Growing urbanization presents the United States with an opportunity to showcase its innovation strength, grow its exports, and help to improve citizens’ lives – all at once. Seizing this triple opportunity will involve a concerted effort to develop and apply new technologies to enhance the way cities work for the people who live there.
After this COVID winter comes an AI spring
During boom times, companies focus on growth. In tough times, they seek to improve efficiency. History shows us that after every major economic downturn since the 1980s, businesses relied on digital technology and, specifically, innovations in software technology to return to full productivity with fewer repetitive jobs and less bloat. The years I’ve spent as a VC have convinced me that this is the best time to start an AI-first enterprise, not despite the recession, but because of it.
Optimizely raises $50 million to expand its A/B testing and experimentation platform
Take the latest VB Survey to share how your company is implementing AI today. Optimizely, a testing platform that helps businesses experiment with new features inside their websites and apps, has raised $50 million in a series D round of funding from Goldman Sachs Private Capital investing and Accenture Ventures. The company also announced it has extended an existing line of credit with Bridge Bank by an extra $55 million, bringing its total fresh financing to $105 million.
The AI-first startup playbook
Iterative Lean Startup principles are so well understood today that an minimum viable product (MVP) is a prerequisite for institutional venture funding, but few startups and investors have extended these principles to their data and AI strategy. They assume that validating their assumptions about data and AI can be done at a future time with people and skills they will recruit later.
AI entrepreneurs: 3 things to check before you pursue a customer
Not all applications are ready for AI, despite recent major advances in the field and enabling infrastructure. Anxiety over the prospect of being disrupted is prompting leaders in all industries to experiment with AI-powered solutions. This makes it difficult for aspiring entrepreneurs to distinguish C-suite curiosity from a long-term intention to buy.
Data rights are the new IP rights
As more sophisticated resources for developers become widely available, copycat products can now be launched in a matter of hours. Software patents provided some limited protection, but feature wars rage on. Software without data is now a commodity. These pressures make AI and the data that feed it more valuable than ever. There is no usable AI without data; AIs need data to train to minimum algorithmic performance (MAP) before they can demonstrate value to potential users and attract customers.
Growing up in the intelligence era
Information technology shifted 15 years ago from perpetually licensed, on-premise software to Software as a Service (SaaS). The shift created significant opportunities for startups, but led to the death of companies that ignored the change. These companies were stunned to find that traction was not enough to interest investors and, at best, they sold at low valuations to legacy technology companies.
Growing up in the intelligence era
Posted on 27 agosto 2016 IT is shifting from the SaaS workflow applications that characterized the cloud computing era to those that help customers make decisions: the intelligence era. The source of competitive advantage is shifting from code to unique data + self-learning code. This brings a change in the expectations of investors. Here we review the requirements of enterprise software investors in the intelligence era. Read More
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