5 Mistakes to Avoid on the Path to Digital Transformation

5 Mistakes to Avoid on the Path to Digital TransformationThese days the term “digital transformation” is all everyone can talk about, and a simple Google search will reveal countless resources on how to make it happen. What few people are discussing, however, is the other side of the coin – what not to do. The good news is, there are plenty of organizations that have successfully navigated the path and overcome the mistakes they’ve made along the way. This has paved the way to creating a sort of guideline for how to avoid digital disaster. Let’s take a look.

Not defining your process.

Digital transformation is a very broad term and it means different things to different organizations. There is no one-size-fits-all approach, nor is it possible to successful transform without a clear plan and specific goals in place. To create this strategy, you should begin by defining high-level requirements. From there, devise a blueprint for implementing the appropriate technologies to meet those requirements.

Not understanding cultural fit.

Younger generations are digital natives and therefore adapt quickly and easily to new technologies. But if your workforce also includes a number of users from older generations, driving full speed ahead on the digital transformation train without considering this can spell disaster. To prevent this, avoid adopting tools and platforms that aren’t overly complex or feature a steep learning curve. Instead, focus on user-friendliness, out-of-the-box functionality, codeless design, etc.

Not managing expectations.

Change is hard. Add to this the concern that certain technologies, such as intelligent automation, are a threat to human workers and you’ve got a situation that is ripe with resistance. This can be overcome by effectively managing expectations. Communicate openly and often. Demonstrate the tangible benefits that digital transformation will have for your employees. Answer their questions and quell their concerns. This will make them less afraid to embrace new technologies. (If you’re still struggling, check out these five tips to help get your workers onboard.)

Not looking at the big picture.

Digital transformation driven by intelligent automation isn’t something that happens overnight. Furthermore, in order for it to be successful, it cannot be approached as just another project. To the contrary, the focus should be on long-term sustainability. This requires that you not only know where you are presently, but also have a clear picture of where you want your organization to be in the future. While it’s wise to start small and build up (essentially, walk before you run), it’s important not to become too short-sighted in the process. Effective digital transformation is an enterprise-wide initiative.

Not measuring progress.

Most of the companies that have gone off the rails and down the path to digital disaster have one thing in common: they weren’t tracking their progress. You can’t know whether you’re headed in the right direction if you’re not regularly monitoring and measuring. Furthermore, if you’re not careful, you could discover your missteps so late in the process that it will be extremely difficult to recover. Utilize the technologies that are available to you, like machine learning algorithms, to keep you on track and help you make data-driven decisions that will pave the way for success in the future.

Do you have your eyes set on digital transformation for your organization? A great place to start is with automation and orchestration. Experience Ayehu’s next generation platform (powered by AI) and kick your journey off on the right digital foot.

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Injecting Digital Intelligence into the Modern Enterprise

Injecting Digital Intelligence into the Modern EnterpriseAdvancements in AI, big data analytics and the IoT are revolutionizing the way businesses operate. Enterprises must adapt to and evolve with the changes in order to compete remain relevant. This breakneck speed of technological change calls for tremendous flexibility and demands the ability to recognize the opportunities and challenges, both now and in the future. Digital intelligence is the key to unlocking the possibilities and achieving the desired outcomes of tomorrow.

The Power Behind Intelligent Organizations

There are two distinct forces that are shaping the intelligent enterprise of today. The first is the growing use of big data, which is at the foundation of developments in research, forecasting and artificial intelligence. The second is the increasing understanding of human judgment, reasoning and choice. Intelligent organizations are capable of merging these two powerful forces to create a synergy that propagates enhanced decision-making. It’s no easy feat, but the payoff is well worth it in the long run.

Through ongoing advancements in technology, such as improved machine learning algorithms, robots have begun to compete with and sometimes even surpass many of the capabilities that were once thought to be exclusive to humans.

The Role of AI

Intelligent enterprises are already beginning to harness the power of emerging technologies to optimize and accelerate their business processes. AI and machine learning algorithms are assisting business leaders by identifying patterns to gain crucial insight into operational and consumer interactions. Intelligent automation is streamlining repetitive tasks, reducing and sometimes eliminating the need for human intervention and freeing up skilled workers to focus on tasks at which humans excel.

Humans and Machines – A Match Made in Heaven

The truly intelligent organization is the one that successfully marries technological capabilities with human strengths. People will remain relevant in business wherever contextual understanding and creativity are required. Human workers utilize cognitive tools, like pattern matching and storytelling, to simplify complex phenomena. In fact, research indicates that the most effective forecasting come from a healthy balance between machine learning and human judgment.

The technological revolution provides business leaders with both an opportunity and a challenge. For forward-thinking companies, the most pressing questions will be which machine-versus-human approach to apply to what project and what’s the best way to integrate the two.

Digital Intelligence is the Way of the Future

In the not-so-distant future, best-in-class predictive business systems will feature a complex synthesis of humans and machines that draw on the strengths of each. Next generation technologies, such as AI powered automation and orchestration platforms, will provide the most powerful and effective decision support systems. These systems will become increasingly commonplace, expanding to become even more comprehensive and developing to become even more sophisticated over time. It’s entirely feasible to believe that someday intelligent decision support will reach a capacity that is equal to or better than human experts.

In this lightning-paced tech landscape, enterprises must look toward the future, identify where they want to be and redesign their approach based on that vision, embracing and adapting to technological changes along the way. Intelligent automation is a great place to start. To experience digital intelligence for yourself, click here to schedule an interactive demo.

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