AI can do so much more than many organizations realize. Knowing where to start and how to implement AI is the crux of the matter.
As AI continues to redefine business operations, and companies embark on their AI journeys, there will be challenges and hurdles, but in order to stay ahead of competitors and propel your business, time is of the essence, and your best chance at succeeding with AI is getting started now.
Operationalizing AI means boosting the productivity of your organization at scale, keeping up with advancing AI workloads, boosting collaboration and allowing your engineers to build more accurate machine learning models. In essence, building out your AI initiative is a sure-fire way to implement and practise innovation, and in today’s landscape, innovation is king.
Many companies are still experimenting with specific use cases or haven’t even begun the journey at all. While caution is healthy, you can’t let it turn into paralysis. Organizations need to move AI initiatives forward with confidence, supported by the right tools so that they don’t wait too long and fall behind their competitors.
How Do You Get Started?
Simple pain points that offer the highest impact for the lowest risk is a great place to start. This allows you to experiment and try something new in safer conditions that won’t hinder business continuity. It also ensures that resources are focused where there will be real gain. Not only is this good for the business outcomes, but it can help to gain executive buy-in for further AI initiatives. Use these early experiments to build out a streamlined process, which you can then apply to the more complex, high-risk use cases.
It’s important for businesses to be aware of the challenges they could face, including increased complexity, extended costs as customization becomes a priority, and team insufficiencies. Though these challenges are a real concern for companies, especially as they begin to leverage AI, there are ways around these hurdles that won’t break the bank, and will boost productivity along the way.
The key is to be proactive. Connecting across business units to identify where AI could have meaningful impact creates full visibility across business operations, and with no stone left unturned, no business opportunities will be lost. Embedding AI into different departments will enhance operations, but you need deep knowledge of those segments to design the right strategies. Options include, recruiting an AI specialist who can focus on this purpose (which may be very hard to find), or partnering with a third party that can provide external expertise to your business. Partnering with a dedicated AI team is a great way to identify business opportunities. An experienced vendor can help you identify pre-packaged AI models that can be launched easily or help you build them yourselves, speeding up the process. Identifying a partner that can help you build a roadmap for AI is a proactive way to ensure your organization is championing innovation and putting AI in the driver’s seat. Many companies get bogged down trying to train models from scratch, or retrain public domain models for their specific business case. This drains resources and takes hours to achieve, often without the desired results. It’s trial and error that many companies can’t afford. Experienced AI users may be able to navigate this landscape, but newer developers will benefit greatly from dedicated support and tailored services.
Finding a partner who can help navigate hurdles, while empowering you to leverage results across the AI lifecycle and run data-intensive workloads to meet your requirements is the best way to ensure success.
HPE helps businesses confidently extend AI across the organization by accelerating AI with flexibility to meet workload requirements. At the same time, quickly and efficiently training ML and DL models. By uncovering hidden insights from your data, HPE enables engineers to build ML models with greater accuracy, and with the ability to train them faster while also reducing costs along the process. As a rule, HPE provides businesses with the tools needed to be more productive than before, to run more efficiently and promote collaboration. With an open, full stack NVIDIA AI-first portfolio, architecture, HPE helps businesses achieve and sustain long-term success.
The journey to extend AI across the organization is not always going to be straightforward. There will be hurdles and challenges, but with the right tools, the right mindset, and the right partner by your side, these hurdles can be overcome, and the results are worth the work.
