Mar 10, 2021

Deloitte and NVIDIA partner on new center for AI computing

Nvidia
Deloitte
AIcomputing
DigitalTransformation
Kate Birch
2 min
A global first, this pioneering center for artificial computing will help Deloitte's clients accelerate development of innovative AI
A global first, this pioneering center for artificial computing will help Deloitte's clients accelerate development of innovative AI...

Deloitte has announced the launch of the Deloitte Center for AI Computing, a first-of-its-kind center designed to accelerate the development of innovative artificial intelligence (AI) solutions for Deloitte clients. 

The center, which is built on NVIDIA’s DGX™ A100 systems, is a joint pioneering effort that merges Deloitte’s deep AI experience with the powerful supercomputing capabilities of NVIDIA DGX A100 systems to “innovate with clients and accelerate their journey from AI experimentation to becoming AI-fuelled organisations”, says Jason Girzadas, Managing Principal, Deloitte Consulting LLP. 

Every industry will be transformed by AI

With AI moving from research labs into industry, “every industry will be transformed by AI” and “products and services will be revolutionised by AI”, says NVIDIA’s CEO Jensen Huang. “Companies will become learning machines and their people will be supported by AI. Together with Deloitte’s global force of experienced specialist, we will turbocharge the realisation of this vision.”

Already, industries from technology, media and telecommunications, to government, healthcare, financial services and energy, are accelerating their adoption of AI. And this center will provide organisations with a strategic platform, experience, and computing resourdces to speed the development of a wide range of AI applications, from automonomous vehicles to digital contact centers to public sector innovation. 

The center will use accelerated computing platforms

Accelerated computing platforms featuring NVIDIA graphics processing unit (GPU) technology, NVIDIA networking and NVIDIA software are transforming data processing, analytics and AI by bringing massive parallel processing capability and speed to demanding deep learning, machine learning and data science workloads. This enables the development of extremely sophisticated AI solutions at scale.

Deloitte has built its foundation on an NVIDIA DGX POD™, built from a scalable, tested reference architecture featuring several DGX A100 systems, NVIDIA Mellanox networking and high-performance storage. 

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Jun 12, 2021

How changing your company's software code can prevent bias

Deltek
diversity
softwarecode
inclusivity
Lisa Roberts, Senior Director ...
3 min
Removing biased terminology from software can help organisations create a more inclusive culture, argues Lisa Roberts, Senior Director of HR at Deltek

Two-third of tech professionals believe organizations aren’t doing enough to address racial inequality. After all, many companies will just hire a DEI consultant, have a few training sessions and call it a day. 

Wanting to take a unique yet impactful approach to DEI, Deltek, the leading global provider of software and solutions for project-based businesses, took a look at  and removed all exclusive terminology in their software code. By removing terms such as ‘master’ and ‘blacklist’ from company coding, Deltek is working to ensure that diversity and inclusion are woven into every aspect of their organization. 

Business Chief North America talks to Lisa Roberts, Senior Director of HR and Leader of Diversity & Inclusion at Deltek to find out more.

Why should businesses today care about removing company bias within their software code?  

We know that words can have a profound impact on people and leave a lasting impression. Many of the words that have been used in a technology environment were created many years ago, and today those words can be harmful to our customers and employees. Businesses should use words that will leave a positive impact and help create a more inclusive culture in their organization

What impact can exclusive terms have on employees? 

Exclusive terms can have a significant impact on employees. It starts with the words we use in our job postings to describe the responsibilities in the position and of course, we also see this in our software code and other areas of the business. Exclusive terminology can be hurtful, and even make employees feel unwelcome. That can impact a person’s desire to join the team, stay at a company, or ultimately decide to leave. All of these critical actions impact the bottom line to the organization.    

Please explain how Deltek has removed bias terminology from its software code

Deltek’s engineering team has removed biased terminology from our products, as well as from our documentation. The terms we focused on first that were easy to identify include blacklist, whitelist, and master/slave relationships in data architecture. We have also made some progress in removing gendered language, such as changing he and she to they in some documentation, as well as heteronormative language. We see this most commonly in pick lists that ask to identify someone as your husband or wife. The work is not done, but we are proud of how far we’ve come with this exercise!

What steps is Deltek taking to ensure biased terminology doesn’t end up in its code in the future?

What we are doing at Deltek, and what other organizations can do, is to put accountability on employees to recognize when this is happening – if you see something, say something! We also listen to feedback our customers give us and have heard their feedback on this topic. Those are both very reactive things of course, but we are also proactive. We have created guidance that identifies words that are more inclusive and also just good practice for communicating in a way that includes and respects others.

What advice would you give to other HR leaders who are looking to enhance DEI efforts within company technology? 

My simple advice is to start with what makes sense to your organization and culture. Doing nothing is worse than doing something. And one of the best places to start is by acknowledging this is not just an HR initiative. Every employee owns the success of D&I efforts, and employees want to help the organization be better. For example, removing bias terminology was an action initiated by our Engineering and Product Strategy teams at Deltek, not HR. You can solicit the voices of employees by asking for feedback in engagement surveys, focus groups, and town halls. We hear great recommendations from employees and take those opportunities to improve. 

 

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