AI and mobile devices go together like peanut butter and jelly
Virtual assistants are already beginning to streamline modern work lives, enabling people to multitask more productively at the office. Machine learning is helping businesses digitally transform at a rate previously unimaginable, pivoting toward a more advantageous position in the market with astonishing agility. Now that AI and mobile devices — both Android and iOS — are pairing up, AI will soon move front and center into the enterprise mobility arena. AI may even help create new and more efficient technologies for the workplace, such as employee apps, before long.
You could say that AI and enterprise mobility were made for each other, like peanut butter and jelly. And the enterprise that recognizes the power of this unique combination to transform the business even further will likely reap the greatest rewards from all that they have to offer.
Tips for AI and enterprise mobility readiness
Enterprises can position themselves to make the most of AI and mobile devices by preparing now. Here’s a checklist of what is needed to get ready:
- A strong enterprise mobility environment is a must. Enterprises that have already implemented a coherent, unified role-based app development strategy will be especially well positioned to take advantage of AI’s benefits with regard to workplace apps. Employees should also have flexibility in using the mobile device that is best suited for their role at the company, realizing mobility’s productivity benefits in their individual work as well as collaboratively and on a team level.
- Innovative, comprehensive mobile security practices should be in place prior to blending AI with enterprise mobility. This means tackling issues and opportunities such as shadow IT and BYOD as effectively as possible now, before the environment becomes more complex. It is also worth noting that in the future, enterprises might be able to leverage AI to enhance mobile security. In fact, smart businesses are already capitalizing on cognitive technologies to streamline how they manage the security of their mobile endpoints.
- A healthy, robust organizational approach to data management is also critical, as AI depends on high-quality relevant data in order to perform its analysis and generate valuable insights for the company. If your company has not yet enacted best practices with regard to ensuring proper data management and data integrity, you’re missing out on not only powerful opportunities for meaningful digital transformation and customer engagement, but also the ability to effectively set the table for AI’s arrival into the enterprise as well.
- A clear understanding of AI’s business benefits and how they can be applied to the company is essential as well. As with all leading-edge technologies, it is important to recognize that not everyone may fully understand AI’s business value just yet. Awareness and support might vary by age, job role and even gender. For example, as IT Pro Portal notes, IT professionals over the age of 50 may be dismissive of AI at first, men may regard it more optimistically than women at the outset and employees that are not IT decision-makers may not even be aware of AI’s potential benefits for their work.
- An enterprise must also have clear business goals related to AI and mobility at the company in order to succeed. It is also important to have an executive sponsor who will champion AI adoption and can navigate organizational ambiguity surrounding it, particularly at the beginning. Funding must be commensurate with the requirements associated with properly pairing AI and enterprise mobility, indicating that the organization indeed considers them a top priority.
- Organizational tolerance for change is a must when pursuing innovative technology of any kind, including AI. Pairing AI and mobile devices can be a years-long process, so it’s important to have patience and the commitment to see through a long-term vision. The enterprise must be willing to experiment with AI, refining its own understanding of the technology and its proficiency in using it. To build initial buy-in and momentum, it might be worth beginning with a pilot project that is able to demonstrate, in concrete terms, the value of AI and mobility.
- In an uncertain environment, employees may become anxious about the implications of AI for their continued employment at the organization. Many people have seen sensational headlines about how automation will eliminate their jobs and are understandably concerned about their livelihoods. Enterprises should tackle this burgeoning issue of employee morale now, engaging employees in a productive and candid dialogue about how the changes associated with AI and enterprise mobility will impact their work.
- As momentum for AI and enterprise mobility builds within the company, it’s important to generate a plan for retraining employees into new roles where appropriate while being certain to take remote workers’ positions into consideration. This will affect some verticals more than others, so the plan should be tailored for the organization in question. Enterprises that create a thoughtful, proactive plan for productively engaging their employees in new and innovative ways will ensure both continued positive morale and greater workforce productivity.
- Finally, it’s wise to begin developing internal proficiency with forms of AI as well as enterprise mobility well in advance of their integration within the enterprise. This way, the organization can ensure that it is able to maximize the benefits of these technologies, and employees will feel prepared to creatively use them in the workplace as well. For example, one effective way to begin would be to explore use cases for virtual assistants. Doing so would allow employees to become more skilled and comfortable with using this form of AI.
AI and mobile devices: Good business sense
AI and enterprise mobility offer tremendous potential for business growth, now and well into the future. And many companies, already understanding this fact, are actively pursuing these technologies. As Forbes notes, 70 percent of enterprises expect to implement AI over the next twelve months.
For businesses that want to remain competitive and advance their position in the market, the time to begin preparing for AI and enterprise mobility is now.