Intel Official: AI can make medical image analysis faster and more accurate

By: Samar Yahya

“AI and data analytics are the defining workloads of the coming decade. On June 18, 2020, Intel disclosed its latest hardware and software solutions that further accelerate the development and deployment of AI and data analytics workloads in data centers, cloud and in intelligent edge computing. These solutions include CPUs, FPGA accelerators, memory & storage solutions and software solutions that ease the process for deploying AI and data analytics workloads.

“Harnessing the power of AI to improve business outcomes requires a broad mix of technology – hardware and software. From silicon to storage, Intel AI solutions are helping customers deliver true business value.” Said Ahmed Ibrahim, Director, Sales Enablement – Service Providers EMEA, Intel on what are Intel products and solutions that support use cases and applications of artificial intelligence (AI).
On how Intel products and solutions help in building use cases of AI i.e. compute, data lakes, data training, modelling, etc. Ibrahim said that the new 3rd Gen Intel® Xeon® Scalable processors are the foundation for AI, with value, scalability, built-in AI acceleration, and inference leadership. These processors continue Intel’s leadership in built-in AI acceleration, and are the first mainstream server CPUs with built-in bfloat16 support, which increases AI throughput by reducing the amount of data required for the same training accuracy. The integration of bfloat16 also allows for significant reduction in memory footprint and sharing of compute/memory/storage resources at a socket level.

“AI instructions and Intel DL Boost capabilities on Xeon provide inherent acceleration across a broad swath of AI workloads such as image recognition, recommendation systems, NLP and object detection.”

On how the power of AI and forecasting models that have been applied to the challenges of managing the pandemic Ibrahim said: “AI is coming across as a vital technology to gain a better understanding and addressing of pandemics such as COVID-19. AI can help physicians and researchers in the pursuit of a vaccine, prevent the spread of the disease, speed up recovery and save lives by unlocking complex and varied data sets to develop new insights. AI can speed genomics processing and make medical image analysis faster and more accurate for personalized treatment.

Robot prototypes use Intel AI technologies to navigate safely around people while disinfecting hospital surfaces. Using ultraviolet light and AI, robots could be used to sanitize rooms and equipment quickly, helping humans avoid dangerous activity.”

Ibrahim described the typical journey of an end user organization while adopting AI as it is important to understand that implementing AI in any organization will be a journey. The first step in that journey is to define the challenge you want to go solve, through brainstorming what challenges you are facing and prioritizing them. Once you have identified opportunities to investigate, the next step is to figure out which AI approach is best suited to each problem.

The next step is to assess if you have the expertise required to implement the solution, and whether those team members embrace a fail-fast continuous improvement philosophy. Once the human element is in place, the next step is to source data and prepare it for analysis, as well as stand up whatever technology infrastructure is required to tackle the problem. Last, but certainly not least, you can do all the heavy-lifting to utilize data to solve business challenges, but if your organization isn’t ready to accept data-driven insights, then all that work may have been ultimately for nothing.

On the role of channel partners and consultants in building end user competence in usage of AI techniques Ibrahim answered: “To be a leader in AI, we need to lead, and part of how we do that is through attracting and modeling top talent, sponsor research, participate on advisory boards, fund startup programs, shape public policy, and more.

We want to lift up our ecosystem of partners through different routes – from partnering with an Intel AI Builder to access more than 100 AI solutions and spinning up an Intel-optimized instance in the public cloud, to building your own infrastructure using an AI-optimized configuration from the Intel Select Solution catalog.”

On the leading market segments in the region for adoption of AI “We are already seeing AI make its impact on our daily lives, both in visible and invisible forms, and the possibilities for this class of technologies is almost limitless. AI is transforming almost all industries, from agriculture, consumer, energy, finance, health, industrial, media, retail, telecom to transport.

“Early adopter industries will be: Consumer with Smart Assistants, chatbots and personalization search, and Healthcare where AI will have immediate impact with enhanced diagnosis, drug discovery, patient care, and research”. Ibrahim concluded

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