5 ideas for driving AI-powered prediction and optimization post-pandemic

Post Covid, business as usual just isn’t an option. Workforce resiliency, enterprise agility and cost reduction have all become top of the mind issues for business leaders. Digital transformation through AI is playing a key role in bolstering business recovery plans. From reallocating resources to increasing operational efficiency, the case for digital transformation and AI is growing stronger. According to “Covid-19 and the future of business” by IBM Institute of Business, 66 percent of surveyed organizations say they have completed digital transformation initiatives that previously met resistance.

But how do you make sure AI is trusted, manage model performance, fill skills gaps and realize value from your AI investments?

Below are 5 ideas for accelerating and innovating digital transformation cost-effectively:

Idea 1: Bring together diverse skill sets

Developing AI can take a village. For ModelOps, data science and AI teams have a lot to learn from application development and DevOps teams in operationalizing the process from ideation to results at an accelerated pace. By harnessing the power of talent with cross-discipline backgrounds, organizations can accelerate learning, increase productivity and bring models to production faster in a unified environment.

To speed AI development, data scientists and developers can use AutoAI, to automate data preparation, feature engineering and hyperparameter optimization. Learn more: “DevOps for AI.”

Idea 2: Increase cost savings and efficiencies by enabling ML without locational constraints

Many locational factors that determine predictions and optimizations have changed as work arrangements and consumption patterns have shifted during COVID. AI can help reduce costs and meet regulations by dynamically reallocating resources and automating logistics operations across both physical locations and multiple clouds.

Federated learning in IBM Cloud Pak® for Data, helps increase training accuracy by using data across clouds while meeting data privacy, security and other regulations. Download The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning, Q3 2020

Idea 3: Expand your deep learning projects on an integrated AI platform

Deep learning is now more widely adopted than ever. Inspired by the human brain, it uses artificial neural networks to develop advanced pattern recognition and improve model training and inference. It crunches through large and complex data, including unstructured data from speech, audio, video, or handwritten notes.

IBM Cloud Pak for Data breaks down data silos and optimizes deployment without disruptions to AI training. Furthermore, with recent advancements in deep learning on Watson Machine Learning Accelerator, organizations can choose more mature deep learning patterns, saving costs and speeding digital transformation with transparency. Check out this infographic, ‘Accelerate deep learning workloads on IBM Cloud Pak for Data’

Idea 4: Predict and optimize your business with broader contributors

Prediction and optimization models have been indispensable in forecasting volatile demands for services, goods and other purchases.

IBM Cloud Pak for Data offers decision optimization and visual data science as part of IBM Watson Studio Premium. The platform can rapidly transform any participant into contributor, diversifying their skills while increasing productivity. Learn more: 5-part data science webinar series.

Idea 5: Measure the ROI of model monitoring and increased production

Investments in explainable AI are prerequisites for scaling AI with trust and transparency. By describing an AI model, its expected impact and potential biases, explainable AI capabilities can help organizations manage regulatory risks and link model accuracy with monetary value. Measure outcomes: Read ¹New Technology: The Projected Total Economic Impact™ Of Explainable AI And Model Monitoring In IBM Cloud Pak For Data

As the pandemic impacts the business landscape, companies that innovate with AI-powered digital transformation stand to weather the storm. You can be one of them.

https://www.ibm.com/thought-leadership/institute-business-value/report/covid-19-future-business

https://www.ibm.com/thought-leadership/institute-business-value/report/covid-19-future-business?utm_medium=OSocial&utm_source=Blog&utm_content=000029MR&utm_term=10005020&utm_id=ET-Blog2

https://www.ibm.com/cloud/machine-learning/modelops

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https://www.ibm.com/cloud/watson-studio/autoai

https://www.ibm.com/in-en/cloud/watson-studio/autoai?utm_medium=OSocial&utm_source=Blog&utm_content=000029MR&utm_term=10005020&utm_id=ET-Blog2

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https://www.ibm.com/blogs/research/2020/08/ibm-federated-learning-machine-learning-where-the-data-is/

https://www.ibm.com/blogs/research/2020/08/ibm-federated-learning-machine-learning-where-the-data-is/?utm_medium=OSocial&utm_source=Blog&utm_content=000029MR&utm_term=10005020&utm_id=ET-Blog2

https://www.ibm.com/in-en/products/cloud-pak-for-data?utm_medium=OSocial&utm_source=Blog&utm_content=000029MR&utm_term=10005020&utm_id=ET-Blog2

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