Artificial intelligence (AI) has become a leading driver of innovation for organizations across industries. The technology has been a significant factor in creating new business opportunities and providing a competitive edge for companies over their counterparts.
The deluge of data across industries like transportation, healthcare, energy, communication, logistics, supply chain, and many others is giving impetus to the adoption of AI-based tools. Here are a few core factors that are fuelling artificial intelligence innovation for enterprises:
Compute: Computing resources like CPUs and GPUs have made a tectonic shift in data processing through innovative FPGAs and ASICs. These recent developments have allowed companies to process the data with enhanced agility and operability, enabling companies to maintain a balance between capital expenditure (Capex) and Operating expenditure (Opex) in their AI initiatives.
Algorithms: Algorithms have become modern day equations as it offers theoretical foundations for machine learning (ML) and AI technologies for neural networks and recurrent and convolutional architectures. The algorithms have offered many breakthroughs for companies because of the abundance of structured and non-structured data.
Data: data has become the lifeline for companies in recent years. Many intelligent technologies like AI, ML, deep learning, and natural language processing (NLP) leverage data to offer many innovative insights into a business process that human mind cannot fathom. Data is the sole reason for the emergence and success of new innovative technologies. In the wake of these developments, companies have been storing data from multiple sources like logs, metrics, traces, configuration events, and so on.
The trend for AI adoption is expected to grow further as the complexity of operations is increasing by the day. Organizations need to augment their datacentre, cloud and edge computing strategies by adopting AI technologies, or they risk falling behind their competition. A self-healing and self-optimizing hybrid data center, cloud, and edge computing tools can reduce administrative overhead, allowing companies to focus on strategic innovation and customer experience.
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