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Commonly Used Acronyms (CUA)
Enterprise start-ups are often faced with this fundamental question: how can they establish an effective, repeatable, and scalable sales model? We are working to expand upon the Enterprise Sales Guide, a definitive guide to best enable our portfolio and community with an area of focus in enterprise technology sales. In doing so, we have created a glossary of terms and principles, specifically for enterprise technology sales terms and principles.
See below for some of the essential enterprise technology sales terms that have been added to our internal enterprise glossary. Please let us know in the comments section if you have any terms to add.
Welcome to the first edition of the CxO Corner, where each month we'll sit down with an enterprise technology leader whom we respect and admire to highlight their role, work, and perspectives on the past, present, and future of the technology landscape. New York is well known as the financial capital world, but is also home to many of the early buyers of emerging tech across its diverse industries, from financial services and media to healthcare, real estate, and transportation.
We're kicking off our inaugural post of the CxO Corner with Bill Murphy, Senior Managing Director and Chief Technology Officer at Blackstone, on his journey in technology and how entrepreneurs can be successful with tech executives like himself. Read below on Bill’s best practices and lessons learned; you’ll find insights for fellow technology executives and entrepreneurs alike.
Note: this article was originally published on TechCrunch on June 28, 2017.
Cloud computing is driving growth at 3 of the 5 most valuable companies in the world. AI will impact jobs only as quickly as AI-powered business software evolves. These are just two of the ramifications of disruptions in enterprise technology permeating mainstream media.
Yet the inner workings of the tightly knit enterprise software industry are rarely publicized. Most talented engineers flock to Instagram and Snapchat where they help The Kardashians hyper-optimize selfies. Taking part in the B2B subculture of Silicon Valley feels like a second-rate option.
Enabling Companies of All Sizes to Centralize, Reuse, and Productionize Data Science
We’re excited to announce that Work-Bench is joining Google’s new fund focused on AI and machine learning investments, Madrona, Rakuten Ventures & Osage University Partners to invest in Algorithmia’s $10.5M Series A.
To the outside world, data science can look like a lot of razzle and dazzle. But at an enterprise grade and scale, it requires an inordinate amount of work to truly get a model into production. From siloed data sets and strict data governance policies, to a lack of central repositories for machine learning models in an organization, there’s no way to manage the full lifecycle of algorithm development - let alone the infrastructure to quickly and efficiently deploy and host compute intensive AI models. What’s needed is a seamless platform to build and deploy machine learning models - a Github and Heroku for AI development at the Fortune 1000.
Enter Algorithmia. The company’s mission is to make state of the art algorithms accessible and discoverable. They’ve built a public marketplace and common API for algorithms, functions, and models that run as scalable microservices, allowing anyone to leverage the latest in AI research from top universities and add a layer of intelligence to existing applications.
Clayton Christensen recently tweeted that “any strategy is (at best) only temporarily correct.” The paradox behind this statement is that great managers hyper-optimize their business lines for profit only to see new entrants come in to take all the money off the table. This type of perfect competition can shoot a company off the edge of a cliff.
Creative disruption a la Apple and Amazon is the answer, but little is discussed of startups catapulting their own successes into new markets. We usually only hear of the overnight success stories like Facebook. But with technology change reaching tornado speed and the pathway from David to Goliath longer than ever, change is important for startups to embrace early and often. For entrepreneurs eager to endure in the competitive and complicated markets of enterprise software, I’d like to offer up an anecdote of our portfolio company vArmour evolving its platform strategy for a new sprint at competitive advantage in the security software industry.
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