AI is everywhere, but is it everything? And is finding the answer really the AI challenge for today?
Why creating a sensible architecture for the process of artificial intelligence adoption and implementation needs to be priority one
You’re part of the management team running a business in the confusing climate of 2023.
You’re dealing with a myriad of tough issues—inflation, shortage of qualified workers, lingering concerns about energy, supply chains, the banking sector, and even political instability as we approach another election cycle.
Then there’s the latest high-tech earthquake: Artificial Intelligence, or AI.
SENSIBLE ARCHITECTURE—BOOSTED BY EVALUATION—IS THE FOUNDATION
OF AI ADOPTION
> Download our think piece
The potential implications of AI are huge. It can dwarf your other concerns combined. Making it more difficult is the fact that stories about ChatGPT, Bard, Bing, other Large Language Models (LLMs), and AI are all over the place and range from negative to positive.
Sure, AI can summarize a financial report in the style of a Shakespearean sonnet. Admittedly clever, but is it useful?
And what about the New York Times article, written by a reporter who said MS Bing claimed to be in love with him? Or reports of AI hallucinations? Respectively, strange and scary.
The positive reports say this technology will change everything and do it almost overnight. Negative reports say it will wreck everything just as quickly. The common ground on both sides, whether positive or negative, is that AI is going to be disruptive. The question is, just how disruptive will AI be? Is it a panacea or a toy? An existential threat or the next big thing?
Like you, we at Garnet River are curious about the philosophical merits. But we’re more concerned with the practical:
- What does AI actually do?
- What does it mean? Is AI really revolutionary?
- How do you adopt and implement AI in a business?
For those who know us, that we’ve dedicated a lot of time to the issue isn’t a surprise. Nor is it a surprise that we have adopted an approach of Sensible Architecture.
Sensible architecture is the foundation of AI adoption. And here’s our think piece on it. We invite you to download it and get in touch with us to share your ideas, concerns, excitement, etc.
Maximizing the value of AI requires that you let it explore. It needs to try things, try alternatives, crunch data, and innovate solutions.
Like humans, AI will fail. And as with humans, AI will learn from failure…if we create the sensible architecture for such learning.
Let’s talk about how to create the right architecture for your organization!
Maximizing the value of AI requires that you let it explore. It needs to try things, try alternatives, crunch data, and innovate solutions.
Like humans, AI will fail. And as with humans, AI will learn from failure…if we create the sensible architecture for such learning.
Let’s talk about how to create the right architecture for your organization!
RELEVANT ARTICLES — ARTIFICIAL INTELLIGENCE AND ROBOTIC PROCESS AUTOMATION
What’s Old is New Again: Hardware and Software Time Slices
Computers got smaller and faster. And everyone wanted to have one of their own on their desk. Both hardware and software were purchased up-front and were used until they became obsolete.
The Evolution of RPA and AI: Getting to awesome
Robotic Process Automation (RPA) and Artificial Intelligence (AI) are distinct technologies often paired because of their complementary qualities. RPA automates repetitive and rule-based tasks. AI enables machines to perform cognitive tasks like perception, reasoning, and decision-making. Together, they can increase efficiency, reduce costs, and improve accuracy across all levels of an organization.
RPA in manufacturing: Streamlining production to enhance productivity and quality
Looking toward the future, the evolution of RPA in manufacturing—especially when paired with AI (automation that integrates with machine learning)—will revolutionize the sector. It will far transcend looking at processes and making them better and more efficient. Instead, it will reinvent the toolbox and pave the way for predictive maintenance, enhanced decision-making capabilities, and smart factories. Those manufacturing organizations that embrace it and do it well will define the future.
RPA before AI
In this era of digital transformation, organizations across industries are constantly seeking ways to optimize their processes, enhance productivity, and streamline operations. RPA emerges as a game-changer, providing a solid foundation for process automation and paving the way for future advancements. That’s right: RPA before AI.
Is AI really revolutionary?
AI is dominating headlines and causing controversy, but is AI really revolutionary? Perhaps the answer lies in looking at the landmark revolutionary moments that have preceded it—the printing press, the steam engine, and the microprocessor, among others—and determining what, if anything, AI has revolutionized. It may be more than you think.
Empowering employees: RPA, job satisfaction, and work-life balance
While concerns about automation replacing human workers remain, organizations are increasingly turning to Robotic Process Automation (RPA) to streamline operations, improve efficiency, and drive productivity. In the process, they’re learning that not only is RPA not replacing human workers, but that RPA, job satisfaction, and work-life balance are closely related. As people are tasked with more meaningful work, they feel happier, more valued, and more productive.