How to drive efficiency and improve profitability by focusing on back office operations
As we’ve touched on before, many companies in heavy industries are now implementing AI and using it to improve their core business. Think autonomous mining or predictive maintenance; or machine learning being used to predict design completion of construction projects; or manufacturing companies running intelligent simulations of their production plants.
But there’s also a quiet revolution being driven by artificial intelligence adoption in back office functions, using technology to improve processes. Away from the front line, a bit less flashy and maybe not as sexy, but nonetheless having a direct impact in the bottom line.
In this webinar, heavy industry leaders Sarah Dods from AGL, Albert Suryadi from Mirvac, and Darren Crichton from Downer, will join our very own Tanveer Bal to share and discuss real world examples on how different AI executions have allowed them to drastically improve their back office operations, as well as where they see opportunities to leverage AI in the back office in 2022.
Register here
(if you can't attend, we'll send you the recording)
We've partnered with Code Like a Girl
We’re thrilled to partner with Code Like a Girl to hire a new engineer and two interns.
Diversity is important in creating high quality and representative AI. It just works better.
Coming to us through CLG, Katherine Dixey (our new engineer), Eleanore Kecskes-Judd and Wei Wang offer perspectives and skills from different backgrounds that will bring new eyes to the big problems we’re trying to solve.
Here’s an insight into our two interns:
Currently studying a Bachelor of Design at Deakin University, Eleanore is one of our UI/UX designers helping to refine solutions for clients so they can gain a better outcome for their problems.
Code Like a Girl has helped her get her foot in the door (specifically ours!) in the industry that she wanted to work in. So far Eleanore has quickly learnt that being a UX/UI engineer is not all about the wireframes and designs.
There is so much more that goes into a client project, which will keep her in good stead for her future career aspirations to build innovative tech and mobile solutions for her own clients.
In a unique skill set for a future designer, Eleanore is also a talented dancer, and will certainly keep our team light on their feet.
Having written her own algorithm on Natural Language Processing for word search, Wei Wang is a perfect fit for our Red Marble tech team.
With limited entry level options in her preferred field of data science and machine learning obtained at University of Melbourne, Code Like a Girl provided Wei a golden opportunity to connect with potential jobs. With a goal of becoming a future tech lead, Wei’s focused on becoming as technical as possible, and has already begun learning more on industrial coding style and the way to improve her code quality from our tech lead Andrew Ong.
What we didn’t realise when we hired Wei was that we’d also be getting a package deal with her adorable chinchilla cat Kuku who likes to sit in on every meeting.
Welcome aboard!