Oracle CEO: All cloud apps to include AI as standard by 2025

Mark Hurd used the firm's EMEA conference to make predictions around the union between disruptive tech such as AI and the cloud


Artificial intelligence will be seamlessly integrated into all cloud apps by 2025 rather than being introduced as an afterthought, according to Oracle CEO Mark Hurd.

During the same time frame, as the world of business shifts further towards this increased use of AI and automation, there will be mass job creation rather than annihilation. Indeed, claims Hurd, some 60% of the IT jobs that will be required come 2025 don't actually exist today.

"The reality is cloud adoption is moving faster than predicted. Cloud is not just a technology. Cloud is a strategy, cloud is a business model," Hurd told delegates in attendance at the firm's Oracle OpenWorld event in London.

What's more, AI and robots will need to be managed and monitored in a way not too dissimilar to current, human employee/employer relationships.

"There will be a supervisor for these robots. Just like we all have bosses, the robot will have a boss," Hurd said.

Hurd also made other predictions about where things are headed, with a particular focus on data and security.

"The economy is a little less than $80 trillion. IT is a very small percentage of that - about 3%. IT then splits into two sections. One is consumer IT and the other is B2B IT. This is the first year I think we will see that consumer IT is bigger.

Cloud security and AI were voted as the top transformational technologies making a difference in businesses in a global survey from Oracle. Find out why, and what else made the cut in this whitepaper.

Download now

"One of the big battlegrounds going forward is going to be about data, about AI, about security... The disruption is constant. Most of the data in the world is owned by two companies: Facebook and Google," he added, suggesting people would want greater ownership in the future and stressing that cloud would be both fundamental and foundational as the shift occurs.

Leo Johnson, disruption lead for PwC and co-presenter of Radio 4's FutureProofing served as the warm-up act for Hurd - who joined the conference by video link from the US as a lack of passport and inability to get a temp one due to the gov shutdown had prevented him from flying - also gave us a peek as to what the future of work could look like.

"Are we moving to a new wave of technology? Not just a set of innovative technologies, but to the deployment of it?" he said.

Source: https://www.cloudpro.co.uk/business-intelligence/7908/aws-releases-neo-ai-code-to-the-open-source-world (Accessed on January 28, 2019)

AWS releases Neo-AI code to the open-source world

Opening the platform up means developers and AI experts to develop cross-device AI tools


AWS has released its Neo-AI code as an open source project, encouraging developers and other AI experts to contribute to the platform.

The company explained that usually, ensuring a machine learning model works across a variety of hardware platforms (especially those running on edge networks) is difficult because there are so many factors and limitations to consider.

Even in less complicated devices, there are so many software variations that it can be tricky to make sure machine learning works across all of them. As a result, manufacturers and vendors are being limited by which companies they can work with to provide machine learning tools they require.

With AWS’s Neo-AI, machine learning models are automatically optimised for use TensorFlow, MXNet, PyTorch, ONNX, and XGBoost models, converting them into common formats to work on a wider variety of devices. The models can be run at a faster pace as well because Neo-AI uses a compact runtime, limiting the resources a framework would typically consume.

Even if edge devices are being constrained by resources, this is irrelevant, because Neo-AI will shrink down the resources needed to run. Neo-AI currently supports platforms from Intel, NVIDIA, and ARM, with support for Xilinx, Cadence, and Qualcomm arriving later in the year.

“To derive value from AI, we must ensure that deep learning models can be deployed just as easily in the data center and in the cloud as on devices at the edge,” said Naveen Rao, general manager of the artificial intelligence products group at Intel.

“Intel is pleased to expand the initiative that it started with nGraph by contributing those efforts to Neo-AI. Using Neo, device makers and system vendors can get better performance for models developed in almost any framework on platforms based on all Intel compute platforms.”

Source: https://www.cloudpro.co.uk/business-intelligence/7908/aws-releases-neo-ai-code-to-the-open-source-world (Accessed on January 28, 2019)

Measuring the impact of AI: How 13 Global Industries use Artificial Intelligence

Source: https://www.slideshare.net/tataconsultancyservices/measuring-the-impact-of-ai-on-13-global-industries/ (Accessed on January 11, 2019)