Here are 5 top 2023 trends IT leaders should prepare for.
By automating the work of selecting and tuning a neural network model, AI will become cheaper, and new solutions will take less time to reach the market.
This is ideal for usage in financial, retail or healthcare industries and for clearly defined repetitive tasks.
AI is getting better at supporting multiple modalities within a single ML model, such as text, vision, speech and IoT sensor data.
Commonly, AI models are given one objective that targets a particular business metric such as maximizing revenue.
New AI and machine learning techniques will play a growing role in detecting and responding to cybersecurity threats.
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