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Toward the beginning of 2020, companies worldwide had enhancements in employee efficiency and customer experience soundly in their sights. Streamlining business complexities, guaranteeing workforce agility, and automating processes for greater efficiency is crucial for flourishing in 2021. Also, for some companies, intelligent automation is the appropriate solution.
Viewing digital transformation as the critical driver of competitiveness, B2B organizations meant to use advances in automation and artificial intelligence to rethink hierarchical workflows.
Companies all over the world confronted the need to fight with COVID-19 imperatives all through 2020. As the "CxOs and Innovation" study by KPMG uncovered, such digital advances as AI and ML, AR, VR, wearables, and blockchain ended up being the best weapons in this inconsistent war. Here are five forecasts about intelligent automation to take place in the year 2021.
Past automation efforts were driven generally by IT as innovation initiatives. As more intuitive intelligent automation platforms arise, business line leaders are getting enabled to focus automation efforts to drive explicit key business results.
These citizen developers undeniably will cooperate with IT in a combined model, harnessing intelligent automation to change data escalated business workflows. Numerous organizations dominating in the new normal are doing as such through automation roused by Citizen Developers in partnership with IT. This new model reduces technical debt, creates agility, and accelerates time-to-value. Different companies trying to accelerate their digital transformation endeavors will copy this model.
Integrated intelligent automation platforms – all-inclusive resource platforms with complementary, pre-integrated automation advances were the favored strategy for driving digital workflow transformation outcomes in 2020. However, while they gave all the abilities and AI needed to automate rapidly, drive fast outcomes and pay off technical debt, numerous companies actually require customisations.
The following advancement needed to fill that gap? Ecosystem. Platform suppliers have created tremendous networks of technologies, applications and services working inside their open, dynamic and incorporated structures – giving admittance to pre-built connectors, network of services, and templates and solutions. Organizations in 2021 will progressively depend on these ecosystems to purchase the business results they want – boosting their capacity to accomplish desired automation results.
The term may have dropped out of vogue this past year, however, we will see the essentials of case management will turn into the foundation of intelligent automation in 2021, as multi-channel client experiences become the standard and organizations build applications quicker than ever before.
When organizations talk about partner journeys, customer journeys, and employee journeys, they will acknowledge they need to apply the aspects of case management to be effective. In particular, with attention on orchestration, case management will give the vital clarity and visibility around the status and execution of front and back-office work organizations need.
Although intelligent automation keeps on being an obfuscated term, case-based automation will arise as the highest quality standard, driven to some extent by the effect of the pandemic.
Among other RPA patterns, this one is about intelligent automation and AI-based bots that can have a fundamental influence in a corporate IT security strategy by relieving the riskiest danger of all — human blunders. Savvy, self-learning technologies are being applied all the more frequently in the fields of safety measures and risk management. RPA bots are the ideal assistants for performing tedious and data-sensitive assignments related to data security governance without mistakes and predisposition and with close attention to the smallest subtleties in your code.
Embedded in intelligent automation platforms and utilized as an essential accelerator to accomplishing digital workflow transformation, AI will not, at this point, be the sole space of data scientists within global companies. In 2021, it turns out to be more accessible to everybody inside the organization. Machine learning (ML), Natural Language Processing (NLP), Intelligent Optical Character Recognition (OCR), and Image Recognition embedded in intelligent automation platforms will enable citizen developers to achieve digital workflow transformation – significantly lifting productivity levels and accelerating work throughout the global enterprise.
