More Companies Looking to Utilize AI

More and more companies are looking to #AI and #machinelearning to help them solve problems, increase productivity, efficiency and improve bottom line.

Did you know leaders cited using AI for increasing productivity through #automation (44%) as their biggest business outcome they’re trying to achieve? Followed closely by improving decision-making (41%) and improving customer experience (40%). Obviously leaders say they plan to use AI to support Technology the most (74%), followed by Operations and Maintenance (62%), Customer Experience (61%), but Strategy was listed by 6 out of 10 leaders as well. 

This according to the PwC 2022 AI Business Survey. 

• AI adoption and strategy: Today, 35% of companies reported using AI in their business, and an additional 42% reported they are exploring AI. AI adoption is growing steadily, up four points from 2021.
• Augmenting the workforce: AI is helping companies address labor and skills shortage by automating repetitive tasks. 30% of global IT professionals say employees at their organization are already saving time with new AI and automation software and tools.
• Use cases: Around half of organizations are seeing benefits from using AI to automate IT, business or network processes, including cost savings and efficiencies (54%), improvements in IT or network performance (53%), and better experiences for customers (48%).

AI Challenges

According to IBM’s Global AI Adoption Index 2022, the top five things that are hindering successful AI adoption for businesses are: 

1. Limited AI skills, expertise or knowledge (34%)
2. The price is too high (29%)
3. Lack of tools or platforms to develop models (25%)
4. Projects are too complex or difficult to integrate and scale (24%)
5. Too much data complexity (24%)

Innocuous AI solves several of these top 5 challenges for companies building AI products. The easy-to-use platform enables AI developers who do not have much DevOps support or expertise to quickly and painlessly get models into production and maintain them thereafter. This helps simplify AI projects, integrates with just about anything, and scale easily. In addition, the platform optimizes on #cloud compute which not only saves on cloud compute costs but also reduces waste on energy consumption. 

Follow our LinkedIn Page to learn more about different use cases of AI, how it forwards businesses in various industries, and how you can remove complexity out of AI.