Solving the speed vs. quality experimentation dilemma and growing the New York Times- an interview with Shane Murray
Contextualizing our world with data, part 4: Journalism. Solving the speed vs. quality dilemma and growing the New York Times, also during the Trump years. Shane Murray, Field Chief Technology Officer at Monte Carlo and former Senior Vice President of data & insights at The New York Times, talks with about experimentation and growing a digital subscriber business, the New York Times. Shane talks about how to solve the experimentation speed vs. quality dilemma – and often outright conflict – between business stakeholders and data teams. Shane also talks about how the New York Times transformed itself into a digital subscription product and tech company.
Why creatives in advertising should embrace data science and data mining – an interview with Les Guessing
Contextualizing our world with data, part 1: Advertising. Les Guessing has a high school degree (barely) but has managed to find great success as an Emmy Winning Copywriter / Creative Director in Los Angeles (and beyond) in advertising – the marketing arm of Capitalism. Over the last 10 years, he has become hellbent on using data/Data Science/Machine Learning and aspects of Artificial Intelligence (especially NLP, Natural Language Processing) to make advertising creative more insightful, more efficient, more impactful, and funnier. He explains why creatives should work with data because. Among other reasons, the creative mindset enables them to look at data and see something from an entirely different perspective than data people.
Contextualizing our world with data. A four part D3M Labs series about how communications professionals use data. Writing and other forms of communications might be art, however, technology is the means by which thoughts, news, images, etc. are conveyed, stored, measured and iterated. The impact can range from branding and connecting with customers and prospects, to reporting about world events.
The Future of the Analyst, Part 3: Data is about business, strategy and revenue generation. Tristan J Burns shares his transition from banking to being a data leader. Tristan details how he sees the role of a data leader encompassing EQ (emotional intelligence) and enabling the data team to drive strategy and data-driven decision making. The interview also includes how data leaders should be measured and which C-Suite roles they should fill.
Future of the Analyst, Part 2: Despite their geeky reputation, analysts often enjoy working cross-functionally, guiding data-driven decision making. According to a recent D3M Labs Poll, many of them have C-Suite ambitions. Alfredo talks about his journey from analytics to the C-Suite. He explains how a background in analytics is good training ground for data-driven CEOs. He also talks about what analysts need to learn to get the top job and excel.
The Future of the Analyst, Part 1: The gap between analytics and impact can be filled with business acumen and empowerment. João Sousa talks about his journey as an analytics practitioner to McKinsey and into diagnostic analytics at a vendor. Knowing the why, understanding the root cause, is the key to driving more business value with data. The root cause and how to change something is the real way to create business impact.
In der dreiteiligen Serie, “Die Zukunft des Analysten” wird untersucht, wie sich diese wichtige Rolle weiterentwickeln wird. Wie sieht die Zukunft der sichtbarsten Rolle in der Analytik aus, die für die Bereitstellung von Erkenntnissen verantwortlich ist? Was ist die Zukunft des Analysten?
This week D3M Labs releases the 3 part series: „The Future of the Analyst.“ Is the role of the analyst endangered? What is the future of the most visible role in analytics, and the one responsible for delivering the insight? What is the future of the analyst?
The AI Guild has become a brand synonymous with AI thought leadership and expertise in the Berlin Tech Scene and beyond. Immigration, integration, sharing personal challenges and working together towards professional growth are all elements of the human story behind the technology that are talked about in this interview and retrospective.
According to a D3M Labs poll, many data analysts who answered wanted to move into management, be it product management or people management. Behind the desired career move, was the interest to step back from the keyboard and focus on the communication and greater involvement in business and strategy.