#data decision making

[townpostin]

Karim City College Observes National Statistics Day with Data-Focused Event

Celebration Highlights Importance of Data in Decision-Making Karim City College’s Commerce Faculty marks National Statistics Day, emphasizing the crucial role of data in decision-making processes. JAMSHEDPUR – The Commerce Faculty at Karim City College (KCC) celebrated National Statistics Day in collaboration with the National Sample Survey Office (NSSO) and the Ministry of Statistics and…

[essglobe]

Navigating The Future With Hyper-Automation Trends In 2023

In today's fast-paced business landscape, hyper-automation stands at the forefront of technological innovation, reshaping industries worldwide. This transformative approach, blending artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and more, is revolutionizing how organizations streamline operations, boost efficiency, and drive innovation. As we venture into 2023, let's delve into the hyper-automation trends in 2023 that are set to shape the future of work. Discover the latest trends in hyper-automation for 2023, from intelligent process automation to data-driven insights. Stay ahead in the age of automation.

[canadiancryptid]

Hey so just saw this on Twitter and figured there are some people who would like to know @infinitytraincrew is apparently getting deleted tonight so if you wanna archive it do it now

[kagaintheskywithdiamonds]

the second dumbest/funniest thing about genAI is like

remember cleverbot? that was a fun little chatbot. for those of you who are too young to have experienced it, cleverbot was, I guess, technically, an AI, but extremely limited compared to what modern LLMs can do. all of cleverbot's responses come from user input. when you talk to it, it saves all the messages you enter and may use them in the future to parrot those words back to other users. this made it more-or-less able to carry on a human-sounding conversation about a wide variety of topics

also it was just a thing people dicked around with for fun, and not something that was being integrated into businesses and shit, which is another win for cleverbot over modern AI

one fun thing to do with cleverbot was try and tell it that it's a robot. it will argue with you, and insist that YOU'RE the robot, not itself. again, this is because its responses all come from user input. and cleverbot learned that the correct way to respond to "you are a robot" is "uhhhh no YOU are, duh" because that's what actual human users were saying to it whenever the topic came up

apparently LLMs do this too, just on a larger, more convoluted scale. LLMs will claim to be human and do human things (like an AI store owner claiming it delivered an item "in person" while wearing a blazer, which is of course impossible) because it's trained using data written by humans who do human things, and sometimes reference the fact that they are in fact humans who have physical bodies

the AI in the story I linked even had an "identity crisis" where it insisted that it was in fact human - again, much like cleverbot would. because both cleverbot and modern genAI are trained using things that humans say. and most humans would say things like "wtf I'm not a robot, YOU are, you dumb computer"

[mewkwota]

Are you still awake?

I drew this at the small edge of my page knowing very well that it would lead to cutoffs and overlap with other sketches because I really do feel more comfortable doing certain positions like this. It just makes it hard to get a snap of them with a "complete" feel.

In a majority of my previous works focusing on Juno's eyes, they were slightly relaxed, as he had just woken up while also going along with his typical calmness. But I've also tried (and failed many times) to see how they would look when they're totally open-- this is excluding the shots where he is straight-up trying to kill someone. :)

In this context, Juno is activated but not totally working if that makes sense? As you may kinda make it out, he isn't upright, so his whole body isn't there either. I was going for something "still, blank, empty".

[angelknives]

Whenever I see the defense of the lack of evil choices in a game be 'well our data showed most people choose the good options, so we've taken out the bad options' I get really frustrated.

NOT choosing the evil option *is also* a part of roleplaying. Making your character someone who chooses the 'good' option, only matters if they could 've chosen the bad (probably easier) option.

It doesn't even need to have a big branching path - much as I would love to see it - but if the bad option is completely absent, you are damaging the potentional to roleplay for both evil and good characters.

[asm5129]

So I was thinking

There tends to be that sentiment that studios don’t make anything original anymore.

But that’s not true; even if the ratio of originality to safe IP has tipped dramatically in the direction of the latter.

But I think we need to have less conversations about which IP is getting a new installment, and more conversations about marketing.

See, the problem isn’t simply that new ratio—it’s that only the safe IP gets the big marketing push. (Sometimes even safe IP doesn’t when it needs to of course, look at Transformers One).

But essentially, studios create a perception of which movies and shows and such they are making by which they make people aware of. If people are more aware of safe IP and less aware of original stories, it will feel like original stories aren’t getting made regardless of how many are actually out at the time. (Though again, it is a known factor that it is harder to get original stories green lit today than it used to be and that shouldn’t be dismissed).

And of course the frustrating part is that the safe IP needs that awareness far less. A smaller marketing budget can go a lot farther if the thing being marketed gets people excited by its mere existence.

All together this creates a cycle of original stories often experiencing less success, which then feeds studio exec data crunching with numbers that people prefer sequels and franchises and don’t want to give new movies a chance.

Point is, marketing priorities arguably play a bigger role in shaping the industry than actual audience preferences, and I think that (and excessive budgets) need more attention and conversation.

[obligatory-name-change]

a character's self-deprication being what keeps them from being in a relationship can be really good but mostly when the self deprication is 1. justified and 2. only no longer an issue because their significant other is Into whatever they're angsting about

[hexagonaldecency]

Putting a timer for my mental breakdown hiding in the toilet

[ratajota]

I changed colleges to study visual arts. dropped sociology after five years and being close to graduating, and yes it's as painful and humiliating as it sounds. but at this point if it swims like a duck (an artist) and quacks like a duck (an artist) the only thing left to do is to surrender to obvious destiny

[apocalypticdemon]

I am so beyond ready to quit this job. Wednesday cannot come fast enough.

[currantlee]

In response to the latest unauthorized scraping of Ao3, I’m not going to private any of my fics.

Why?

Because control is both an illusion and addictive. At the end of the day, privating fics provides very limited protection. All a scraper needs to get past is an Ao3 account, which has actually happened in the past.

I want my writing to be available to everyone and I’m not going to let some lazy-ass little fucker ruin that.

Besides. My writing will always be superior to whatever GenAI can produce. So is everyone else’s. And you, lazy-ass fucker (who is probably not reading this, but just in case), know it too. Cry about it 😛

[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

Learn more about DataPeak:

[furryreviewdreamland]

Data-Driven Decision Making improves strategies, boosts efficiency and drives business success with accurate insights and informed choices.

[waru-chan8]

I just heard a great take that none of us has considered yet about Lucas move to Honda. If it goes bad (as it will probably happen) he can always return to Vale's team. He has nothing to lose and if goes well he will be credited as the one who took Honda back to his glory.

It's actually a win situation for him