FeatureArtificial intelligence is expanding possibilities in business, and in everyday life. With massive compute power, data availability, and expert analytics teams, artificial intelligence is creating a lot of opportunities. The pace of digital innovation is accelerating across all industries in response to the pandemic and artificial intelligence for healthcare played an instrumental role in this regard.
Many healthcare institutes used artificial intelligence or specially designed digital platforms to deal with the pandemic by screening people who might be infected, identifying high-risk patients, screening frontline healthcare workers and distinguishing Covid-19 from other respiratory illnesses.
Best practices would be to build a data fabric, spanning across edge, datacentres, public clouds
Using data, artificial intelligence can help healthcare professionals make more informed, accurate, and proactive assessments and diagnoses. The ability to analyse data in real time enables healthcare professionals to improve the quality of life for patients and ultimately save lives. This will enable proactive diagnoses using smarter healthcare tools, help physicians find the right data faster and keep patients and healthcare organisations safe from cyber criminals and attacks.
In finance, artificial intelligence is helping organisation in fraud analysis and investigation by utilizing rule-based learning to identify fraudulent transactions, it is also helping companies to be more efficient in addressing their regulatory compliance.
Similarly, in telco, artificial intelligence is enhancing customer satisfaction improving predictive maintenance by helping to fix problems with hardware cell towers, power lines, before they break and detects signals and breakpoints that usually lead to failures.
Data is key to identifying patterns, developing predictive insights, and enabling autonomous systems
Organisations across nearly every industry are adopting artificial intelligence to stay competitive, drive growth, and decrease expenses. Whether powering self-driving vehicles, pioneering genomic medicine, building chatbots, or leveraging predictive maintenance, success with artificial intelligence is completely dependent on real-time access to large amounts of data.
Volumes of data are massive and stored in many different forms
Data is key to identifying patterns, developing predictive insights, and enabling increasingly accurate autonomous systems. However, artificial intelligence is easier said than done. Not only are the volumes of data massive and stored in many different forms, but the data lives everywhere across multiple clouds and in the datacentre. Data silos and technology complexity are major hurdles to getting artificial intelligence projects into production.
Artificial intelligence is easier said than done
Taking these challenges into considerations, artificial intelligence experts at NetApp work with customers to address these challenges by building a data fabric that helps remove bottlenecks at the edge, core, and cloud to enable more efficient data collection, accelerated artificial intelligence workloads, and smoother cloud integration.
Data silos and technology complexity are major hurdles to getting artificial intelligence projects into production
The best practices would be to build a data fabric; a unified data management environment spanning across edge devices, datacentres, and one or more public clouds so artificial intelligence data can be ingested, collected, stored, and protected no matter where it resides. Only then we can optimally train artificial intelligence, drive machine learning machine learning, and empower the deep learning algorithms necessary to bring artificial intelligence projects to life.
NetApp artificial intelligence solutions can help customers remove bottlenecks at the edge, core, and cloud to enable more efficient data collection, accelerated artificial intelligence workloads, and smoother cloud integration. Data management solutions support seamless, cost-effective data movement across hybrid multi cloud environment.
Data can be ingested, collected, stored, protected no matter where it resides
NetApp ONTAP artificial intelligence is a solution powered by NVIDIA DGX systems and NetApp cloud-connected all-flash storage. NetApp ONTAP artificial intelligence helps by simplifying, accelerating, and integrating the data pipeline with the ONTAP artificial intelligence proven architecture.
A data fabric helps remove bottlenecks at edge, core, cloud to enable data collection, artificial intelligence workloads, and smoother cloud integration.
