Sweatshops may seem like a thing of the past, but today’s digital world has its modern equivalent: repetitive, manual computer tasks.
But there’s a better way. Are you ready for the workforce of the future that is human, robotic & agentic?
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According to ABBYY, companies are already investing heavily in AI with FOMO being a key driver—63% of global IT leaders are worried their company will fall behind if they don't adopt AI.
Notwithstanding the obvious business benefits, concerns about AI pe
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#Automation and #AI are transforming customer service by offering 24/7 support, reduced wait times & mass personalization, thus improving both customer satisfaction & agent efficiency. Not surprisingly, 71% of businesses find AI worth the investment.
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Gartner's 2024 Magic Quadrant for #RPA is out! RPA vendors are doubling down on #AI, embedding it into platforms and pushing for AI-driven automation development. Could this signal the dawn of RPA 2.0 with AI agents reshaping automation?
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Gartner warns that 30% of generative AI projects may be abandoned by 2025 due to misalignment with business goals, technical complexity, data issues, and unrealistic expectations. To succeed, start small, choose the right use case, and scale fast.
To lear
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There are four types of AI adopters: AI Class, Experimenters, Newcomers, and Skeptics. While AI Class only make up 7%, they report more than 30% time savings.
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The CrowdStrike incident highlights the need for digital resilience in today’s connected world. RPA offers productivity gains, but security risks are often overlooked. Recent findings show that flaws in RPA security, like those at GSA, are a growing concer
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Choosing the right use cases for AI agents is key. Start by evaluating existing RPA pipeline & processes first. Popular use cases include: Invoice Processing, Employee Onboarding, Customer Success, and Digital Marketing.
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Gartner’s Emerging Tech Impact Radar highlights key hyperautomation technologies like IDP, which promises high impact now. Investing in IDP can transform enterprises by automating data extraction and document processing.
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The rise of AI and LLMs sparks fears of mass unemployment, but history shows technology can diversify industries, not destroy them. Like cars didn't kill the equine industry but evolved it, AI can reshape the future of work for the better.
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Sustainability reporting is crucial but challenging due to data complexity. A Deloitte survey found 57% of execs struggle with data quality. RPA & IDP can help streamline data mgmt, making the reporting process more sustainable.
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What's the difference between RPA and AI?
Have a look at this explanation, and find out how RPA and AI can work together to help businesses automate better.
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The next wave in automation focuses on AI agents to handle unstructured processes & data.
To get started with AI agents: secure management buy-in, identify initial use cases, understand risks, and remain flexible with technology choices.
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AI agents, combining AI & automation, can autonomously plan, do, check, and act. They are expected to go mainstream in 3-5 years, revolutionizing tasks like invoice processing with human-like capabilities.
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In an inflationary era, audit fees remain surprisingly stagnant. Smaller audit firms face competition, rising costs, and talent shortages. The solution? Achieve operational excellence and prudent cost management by embracing automation and AI.
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"High tech/high touch" is a term from John Naisbitt's 1982 book Megatrends. As technology advances, humans crave more personal interactions. Today, as automation grows, balancing technology with personal touch is crucial.
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Businesses are struggling to find workers. To cope, businesses should consider automation and AI to reduce costs and job redesign to optimize manpower and processes.
To learn more about job redesign, please visit:
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Is the “automation of automations” here? Microsoft Build 2024 unveiled Copilot Studio, a low-code tool for creating AI agents to automate tasks. With features like the AI Recorder and AI flows, it aims to revolutionize RPA.
Read our analysis here:
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44% of worker skills are expected to change significantly in the next 5 years. Jobs like data clerks are fast disappearing.
Businesses would do well to heed this warning. If they do not invest in digitalization & automation of processes, they might face extinction too!
"Yes, excessive automation at Tesla was a mistake. To be precise, my mistake. Humans are underrated." — Elon Musk
This actually resonates with the view that “automation is good, so long as you know exactly where to put the machine.”
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