As each project comes along, there’s something new to add to the OCI Arcade. It started off with the game and Autonomous Database. And then grew into including Kafka, Docker Swarm, Serverless with the FN Project, Terraform, OAuth, Ansible, In-Memory Data Grid with Coherence-CE and more recently with Arm. This time round we’ve adding in a Customer Relationship Management (CRM) solution. Why? Up to now, users has been a simple identifier to denote the scores and the events in the game. Nothing more; nothing less. By adding in a CRM into the mix, we’ve opening up the understanding about our contacts and customers providing a richer experience for those coming to the arcade. And ultimately, from a space where we are build, experiment and try something out – adding user profiles opens up endless possibilities. Check out the rest of this about how it’s changed and some of the things we needed to do to make this happen.
This is going to be quick. This is not a “war and peace”. Over the next few days, there will be converging on the #SmartCities hosted by Hackmakers- Friday, June 4 – Tuesday June 8 (07:30 EST | 17:00 IST | 19:30 SGT | 21:30 AEST). You can find more details (here). There was an ask at the previous hackathon which was which instigated this piece of work:
Adding security over the APIs across multiple layers was something that we considered when putting this project together. This perspective was reinforced at the #DigitalDefence hackathon in Nov 2020. Check out what happened (here).
Here we will focus on the different REST APIs exposing the data hosted by Autonomous Data Warehouse. We started off with HTTP Basic Authentication but quickly turned to using OAuth. Here we’ll explore more about the OAuth side and how to get that started.
It’s almost 9 days before the event launches on the Friday night. Even before that, there are a series of workshops / webinars that we are hosting as part of the event in the days leading up to the event. Even then we are:
a/ Making sure that we have people, mentors, marketing, product managers, executives lined up to help where they can. b/ Making sure that we have ideas, platforms, trials, programs, education material lined up to help where it’s feasible. c/ Making sure that we help promote, advocate, market the event so those who would benefit would know about the event and attend.
All this effort for what outcome?
This says it all. And even though this is about #anomalydetection #deepfake #cybersecurity, much of this comes down to data – where the data can be sourced, how the data can be analysed, is the data reliable and can it be trusted.
Over the coming days leading up to the event – there will be plenty of chatter around it. Follow the event on LinkedIn. Some easy ways to follow are:
I’ll be writing more about it here as we go and as new content is available. If you are interested to know or more if you want to join a team or showcase a project or product – head to the Hackmakers website https://hackmakers.com/ to learn more and register.
On August 17th, we’ll be announcing winners of the #BuildWithAI hackathon and it will be live-streamed on youtube – https://youtu.be/URuB0FtBIJo (note – set your reminder). Cassie Kozyrkov (Chief Decision Scientist, Google), Steve Nouri (Board Member, Hackmakers), Cherie Ryan (Regional MD of ANZ and VP, Oracle) as well as an all-star judging line-up will be there.
Before we get to that, lets rewind, fast-forward and bring together some of the interesting points of the #BuildWithAI hackathon – an event that was truly global in its nature hosted by Hackmakers (https://hackmakers.com/).
July 24th 11:45am AEST – I received a calendar alert for the Leader Mentor Zoom session for the #BuildWithAI hackathon. Trying to finish as many of the things that I needed to get done before I joined this call. This will be interesting. Watching the number of competitors join the event’s slack workspace climbing from a hundred users when I first joined, to now over 3,500 users in the #introductions channel, it was an unique experience. I’m thinking about lots of different things from past hackathons that I’ve participated, mentored, sponsored, hosted – how will this one be any different. I’ll just have to wait and see. And better yet, give to the community and the competitors as much as I can in the time we have.
This moment was not the beginning nor the end of this experience. It was somewhere in between. I’ll give you some background.
Over the past couple of weeks, there’s been another Viz for Social Good project that was running. For this project, the supporter was Kiron Open Higher Education (https://kiron.ngo/en/) – an organisation that is providing a learning platform for refugees and underserved communities in the Middle East.
The project was to put a spotlight on refugees and immigrants and was linked to the virtual refugee conference called Amplify Now (https://virtualrefugeeconference.com/). Submitted projects went into the running to be featured at the conference itself.
In November 2018, I had the privilege to attend the Australian Oracle User Group national conference “#AUSOUG Connect” in Melbourne. My role was to have video interviews with as many of the speakers and exhibitors at the conference. Overall, 10 interviews over the course of the day, 90 mins of real footage, 34 short clips to share and plenty of hours reviewing and post-editing to capture the best parts.
We all know that data is massively valuable to businesses, whether it is to support daily business transactional activities (Online Transaction Processing – OLTP), or to help business with planning, problem solving and decision making (Online Analytical Processing – OLAP). Either way, businesses heavily rely on both ways to support their most important strategies and activities.
Until recently, companies had to heavily invest in provisioning, securing, patching and driving either way of Online Data processing mechanisms. In most cases, even with Cloud adoption, companies still had to rely on their own skills to make sure that their databases were properly patched, secured, tuned and managed.
However, today there is another option with the recent announcements that Oracle have made around Autonomous Databases for both OLAP and OLTP data processing. What this means, is that Oracle has taken automation to a totally new level with the assistance of Machine Learning. The idea is that the DB itself is self-sufficient with a full set of automated activities that range from patching, securing, optimising, etc. This will reduce not only the effort to run data workloads, but removing completely human errors, creating the opportunity to not only keep the lights on, but to focus on crucial business activities around innovation and differentiation.