It will take digital leaders capable of broad vision and deep work to transform and lead organizations into a digital future.

Introducing the Digital Transformation Technical Leaders Program

JSR is 3 years into their digital transformation journey with a new generation of scientists developing through the Technical Leaders Program. The most significant early wins have been in laboratory performance and efficiency gains enabling significantly more time for crafting innovative workflows using entirely new data sets. 

The program combines classroom training and apprenticeship style work on real data and problems (over a 6 month period), followed by remote mentoring and ad hoc advanced courses.

Are You Ready to Seize Digital Opportunities?

The Enthought Diagnostic Report for Digital Maturity
The Digital Maturity Diagnostic Report is provided to assist companies in evaluating their ability to realize value through digital skills, technologies, and governance. 

Is your organization ready?

Digital Transformation– the Long Game

True digital transformation, beyond just implementing digital technologies and providing training, is a multi-year effort that requires significant commitment from across the organization. To sustain the change and motivate people for the longer-term prize, it is necessary to deliver incremental and significant business value every 6–12 months. This value could be saving research scientists’ time, or introducing a new capability in the laboratory.

In this video, COO and Chief Digital Transformation Officer Mike Connell sets out the approach Enthought takes in collaborating with clients to implement a multi-year program to enable dramatic new capabilities.

Mike Connell | 3m34s | Digitally Transforming with Continuous Value to the Business

Realizing Possibilities

Science + Domain + Coding = Innovation

Enthought experts have deep expertise in fundamental science, and come from multiple domains, for example; life sciences, chemistry, oil & gas, manufacturing and aerospace. They also have expertise in scientific software development and a passion for problem solving.

Many clients recognize the need for similarly skilled experts to progress their own digital transformation initiatives, for which Enthought has standard and customized training programs.

From its origin in 2001 Enthought has provided training in scientific software, and today focuses on Python, now the most used programming language in science.

Problem-Driven, Customized Scientific Software

Through a collaborative approach with clients, Enthought builds customized scientific software that enables experts to approach problems in entirely new ways, creating new possibilities for the business. 

By combining experts who code with the domain expertise of clients, engagements are highly efficient; software prototyping can happen in days, rather than weeks and months. These software prototypes always target specific business problems, focused on delivering value early. 

More than 80 of the Enthought 100+ staff have graduate degrees in STEM fields, and more than 65 hold Ph.Ds. 

Enthought at Work

See what can happen when client experts collaborate with Enthought scientists and engineers who code.

Enthought Blog: Where Science, Code, & Curiosity Intersect

The Enthought blog covers digital transformation journeys, scientific software challenges, and some just plain cool technology.

Analysis of Chicxulub Asteroid Impact Cores Brings Multidisciplinary Discoveries

In 2016 a scientific expedition drilled into the Chicxulub Impact Crater in the Gulf of Mexico, taking a core sample formed when a meteor crashed 66 million years ago, killing the dinosaurs and beginning the Cenozoic period.

Brendon Hall, part of Energy Solutions, used custom built software for the oilfield to study this fascinating core. The results are now published. Contact us for the PNAS Paper, and visit the blog for the New York Times article and other press.

Enthought’s Virtual Core Application

Uber: Digital Transformation and Industry Disruption

There are underlying lessons to be learned from considering the difference between a taxi company and Uber. Both have access to the same set of technologies: Mobile phones, mobile apps, credit card processing, GPS and turn-by-turn navigation.

Yet the typical taxi company is worth in the order of $10M, while Uber is worth in the order of $100B. The key difference is not in how the technologies are leveraged, but in the way each company is set up to take advantage of the possibilities that these technologies can provide.

Mike Connell | 1m44s | Lessons from Uber in Digital Transformation

SciPy 2020

July 6-12

The health and safety of the SciPy community is the top priority of the organizing committee. Due to COVID-19, SciPy 2020 will be a virtual conference. Visit the conference website where updates will be provided when available.

SciPy began in 2002, when Enthought CEO Eric Jones brought together a group of about 35 like-minded scientists at CalTech, passionate about the potential of the Python scientific software stack. Enthought remains the institutional sponsor of the SciPy Conference today.