#Business Events 2025

[trescong]

AI and CLM: The Powerful Duo Redefining Manufacturing

Consumer behaviour has evolved in the past few years. Today, customers do not seek a one-size-fits-all product but something that can be easily customised and offers them the ability to select features that can adapt to their needs. This poses a precarious challenge for the manufacturing sector to balance the customer's desire for flexibility while ensuring cost control and operational efficiency. 

For Chief Information Officers (CIOs), this is the perfect opportunity to assist business leaders and manufacturing giants in transforming their operations. The rapid integration of artificial intelligence solutions and configuration lifecycle management (CLM) will help streamline production and customisation cycles. 

Through this blog, we will explore the opportunities and challenges posed by configuration lifecycle management, the role of AI in configuration, and the future of manufacturing in the AI and CLM era. 

Meeting Customer Expectations: The Shift to Configurable Products 

Earlier the manufacturing sector used to focus on mass production but now it is all about what the consumers desire. This change is rapidly becoming the new norm that is reshaping how the manufacturing sector operates. 

For instance, automobile consumers today have tailored features that they desire in their cars or any organisation that is buying any industrial machinery is keen on ensuring that it has a system that evolves to the dynamic market demands. This signals the focus of the manufacturing sector to design and produce their products factoring in on the insights from the market. 

To help the manufacturers with their products, artificial intelligence and configuration lifecycle management together can assist them without the traditional complexities and high costs that used to plague the process. 

What is Configuration Lifecycle Management (CLM)? 

To deliver configurable products, manufacturers require an efficient process throughout the lifecycle right from the design process to the production process to the after-sales services. CLM ensures a clear framework to help leaders and organisations to make them agile, and efficient and align teams with accurate product data. 

Manufacturers who have integrated the CLM framework are bound to notice significant cost savings of up to 50 per cent while enjoying improved product margins of up to 20 per cent. But not all CLM systems are the same, this is where CIOs are making a difference. 

By selecting the right tech stack to ensure enterprise-wide deployment and the free flow of datasets across teams, CIOs can help manufacturers and business leaders harness the complete potential of CLM frameworks. 

How AI Enhances Product Configuration 

With Artificial Intelligence tools, manufacturers are standardising the product configuration cycle by automating document processing, bills, customer feedback and more. 

The AI models utilize their ability to help convert data inputs into configuration standards that can help business leaders and management implement a standardised approach leveraging the expertise of their teams. This enhancement ensures that the business leaders are focused on delivering products that meet customer needs efficiently and at scale. 

The Future of Manufacturing: AI, CLM, and the CIO 

In the global economic landscape, the manufacturing sector needs to overhaul its operations to stay relevant. Through the integration of AI and CLM, the sector can not only remain agile but also scale faster and more efficiently. 

At the vanguard of this transformation are the Chief Information Officers (CIOs). By leveraging their expertise, CIOs can help the sector to transition from the old operating ways towards a smarter, more efficient and smarter way of operating in the digital landscape. Through AI and CLM, manufacturers today can cater to the evolving demands of customers and stay ahead of the curve. 

This paradigm shift is the necessary disruption of the status quo allowing manufacturers to be adaptable and customer oriented. To further deliberate about the future of manufacturing in the digital transformation era, leaders from across the country will be convening in Bangalore for the Big CIO Show and Awards. Save your seats today and book your ticket now. 

[royalarchivist]

Aimsey: Bad, can you give us a rundown on everything you know?

Bad: Oh yeah, so basically, no one gets eliminated in the first day just like a lil competition, I think we're gonna– [muffled] do teams?

Tubbo: How many days? Wait, I really missed the memo. 😨 Oh my god.

Bad: What?! Did you read the pamphlet?

Tubbo: There's a... pamphlet? 😥

Aimsey: [Laughs] Toby just heard "event" and said yes.

Bad: Yeah, so Day 1, you'll bully and beat up Tubbo.

Aimsey: Oh! Ok, ok, right, I'm listening, ok.

Wait, sorry– I just got a message from Pac being like "Do you want to play Minecraft together?" and I was like "Yeah!"

Foolish: Man, I thought I was like, lazy with figuring it out, but you know even less!

Bad: I can send you the- the- the pamphlet.

Foolish: ...Wait, is there an English version of the pamphlet???

Aimsey: We are so done for.

Fit: DO YOU READ THE EMAILS???

Tubbo: EMAILS???

Foolish: I open one PDF and I then was like, "Oh, this is in Portuguese, guess I'm screwed. 🤷‍♂️"

Tubbo: Is it survival Minecraft? Oh my god, no, it's gonna start giving me flashbacks, I can't do this again. 😰

Fit: Tubbo, did you research anything before signing up for this event???

[eggplantgifs]

Sherry Zhang: Vivo Tango, The Illusionist » 2025 US Nationals

[mossy-paws]

600 followers! (What is UP with you guys + small announcement in tags!)

WOW. OKAY THAT IS INSANE. Well guys, holy shit! 600 followers is absolutely fucking insane and I was not expecting to hit this milestone so quickly- I STILL do not have a singular plan for any sort of special or whatnot, but I do defintely want to thank you all a lot, this is a MASSIVE milestone and I’m so happy I managed to make it :3!

for this, i think I’ll be answering all the super old asks in my askbox that I’ve been wanting to answer for months now, these will include doodle req’s too (ONLY ONES I HAVE IN MY BOX NOW. NO MORE. I HAVE LIKE 20 ALREADY LMAO ANY NEW ONES WILL BE IGNORED LOLLLL) + I’m making a little fun low effort comic already so I’ll be working on that too for this occasion :3! I think people will like it a lot, it’s a chainsaw man x Ultrakill shitpost comic that’s ENTIRELY self-indulgent because I got the idea and couldn’t get it out of my head.

that plus I have some gifts coming up, (@sillymeowiixx you better watch your fucking back I am going to SPOIL you /vsilly) + I also have some cosplay stuff that’s gonna be worked on very very soon! Just be sure to keep an eye out for it all :3!

[kaito-spottedd]

Happy 19th birthday to kaito!!! <3

[the-property-of-may]

Hello hello! 2025 has arrived and The property of may is continuing! :D

This march I will share the new list template for you all to start sharing your prompt words, so stay tuned!!!!

[chocolatewoosh]

Life has been INTERESTING as of late I've found myself rapid fire flipping between these four moods

PS: My dad's fine! Had to get a big surgery, and I've been big worried about 'em. But he'll be alright despite what my anxiety is telling me gjklnSFDKLSD

[mousemannation]

mouse man actually lost first round bc it’s mardi gras atm and he knew i wouldn’t be able to watch the final anyway ❤️ he’s so considerate ❤️❤️

[prevailinghatred]

" I wasn't anticipating this much of a match, actually. Take that as you will. "

He's rubbing his chin while looking at Shockwave's answers. By his perception, there were spaces that could be marked, but which weren't. And of course, there was the question of — those question marks.

"Let's review your answers, shall we?" Megatron's tone is brisk, even a little pleased.

He taps the page over 'moralistically and ethically flexible'. "This one should probably be marked. It's something you and I have equally aligned and butt helms over in the past. But you should know that's a plus rather than a minus in your favor. You push me to make choices I might not have considered otherwise, and I like that about you."

Moving on, his finger slides over the first question mark having to do with values. "This. I speak of political values, rather than moralistic values in this case. As my third in command, I would think you're well-acquainted and aligned with those ideals. It's... curious to me that you'd suggest you aren't?"

One other thing he felt he should mention before the last question mark. "As for our degree of compatibility based on this surface-level questionnaire, you'll notice I didn't speak much of physical traits." A vague flex of one servo. "For me, such considerations are secondary to one's mind. So you make of that what you will."

A meaningful pause, and he slides the paper towards the scientist on the table. The look in his optics is equal parts amused and curious as he indicated the question mark by 'sexual flexibility'.

"Care to elaborate?"

[ioniansunsets]

Ionian Sunsets' Valentines 2025!

Pick a genre, any genre! Come get your kisses this week my lovelies.

Rehashing an old Valentine's event I did on one of my blogs almost ten years ago, let's enjoy this sweet season of love. (Disclaimer its x reader only.)

Step 1.

Take a look here and pick something you wanna see play out.

Step 2.

Tell me which champion you wanna see perform said kiss. Skinline optional. If you like tell me how far along the relationship they are! (Long time lovers? Just friends? A first meeting?)

Step 3.

Drop the ask. Enjoy your Valentine's week! (if I really like them maybe its time to make a bot out of it-)

[trescong]

From Reactive to Proactive: The AI Takeover of Supply Chain

 

Supply Chain, logistics, and procurement have long been the lifeline of global economic systems. However, in the modern industrial landscape, where each industry is constantly disrupted and technologically shifted, supply chain operations are still stuck in the past. The old model is not only slow and needs constant human oversight but also has blind spots. 

Chief Information Officers are under constant pressure to help the industry evolve. As artificial intelligence solutions are making inroads in the critical facets of the global economy, it is now becoming imperative to embed these solutions in supply chain operations. 

Challenges Facing Supply Chain Leaders Today 

Over 90 per cent of business leaders expect supply chain operations to become more complex in the coming years, so the industry is seeking a structural overhaul to streamline operations. 

Why AI is the Answer 

Through AI, the CIOs will be able to help fix these strategic vulnerabilities and transform the supply chain industry from a reactive to a more intelligent and proactive system. 

Here are just some of the gaps that CIOs can use AI to help bridge 

Real-Time Tracking: AI-powered platforms will help enterprises and organisations to maintain end-to-end supply chain transparency. Through its real-time data tracking, the leaders can track every shipment, automate and verify supplier transactions, and help data-driven decision-making while helping prevent potential disruptions. 

Improving efficiency and cost optimisation: By streamlining its operations, enterprises can avoid wasteful resource allocation by eliminating repetitive tasks like supplier management, invoice matching, and more. Machine learning can help business leaders optimise costs by analysing purchase patterns, and market fluctuations, and further leveraging supplier contracts to help maximise inventory. 

Mitigating Risks: Its pattern detection ability can help enterprises identify risks and help leaders adopt alternative sources in case of inventory imbalances. Whether responding to geopolitical instability, weather disruptions, or supplier failures, AI helps businesses stay ahead of potential challenges. 

The Shift Toward Predictive Procurement 

For long traditional procurement methods have relied on historical data sets and redundant forecasting models. With the market evolving rapidly, these models need to update themselves with real-time market changes. 

AI-driven solutions are not only eliminating guesswork but are implementing autonomous systems that alter sourcing strategies based on real-time supplier conditions. This not only helps reduce the procurement turnaround time but also helps drive negotiations and highlight any compliance issue that can pose a serious risk to the supply chain network. 

CIOs: Leading the Future of Supply Chain 

As the complexity of supply chains increases, it’s clear that businesses can no longer afford to rely on outdated models. CIOs have the unique opportunity—and responsibility—to lead their organizations through this transformation. By leveraging AI, they can ensure that their companies remain competitive in an increasingly fast-paced and unpredictable environment. The future of supply chain, logistics, and procurement is digital, and CIOs are the key to unlocking its full potential. 

As the supply chain industry continues to evolve, so does its complexity. CIOs today are uniquely positioned to drive this change ensuring that enterprises and organisations stay ahead of the competition. The prioritisation of AI-driven solutions gives CIOs the opportunity to craft a strategy to navigate dynamic market shifts. 

One thing is for certain, the future of the supply chain is digital, and CIOs are the bridge to help enterprises leverage it to their advantage. 

[revehae]

yapping tonight but i think i kinda wanna write normie fics… like, lisired style, but in lowercase. smth about the lowercase just hits dif idk.

[dahldahlbills]

nano day 2 & 3 update

day 2

Total Word count: 1689; 1421 towards a fic, and 268 towards my main wip

Did a lot of handwriting so I wasn’t able to see exactly how much I wrote until I typed it up today (hence the late update)

day 3

Total Word count: 1603; 901 towards a fic, and 702 towards my main wip

I did two sprints towards my main wip and got ~350 words for both 20min sprints, im kinda proud of that ngl

I’m making steady progress and for the most part on track for that 50k which is kinda neat! (still not what I’m going for tho so i can’t let it get to my head lol)

but overall I’m feeling really good so far I’m excited to see what I accomplish tomorrow :D

[jcmarchi]

From Generative AI to Reliable AI: High Stakes in Manufacturing

New Post has been published on https://thedigitalinsider.com/from-generative-ai-to-reliable-ai-high-stakes-in-manufacturing/

From Generative AI to Reliable AI: High Stakes in Manufacturing

The AI hype cycle exploded in 2023 with the debut of generative AI and subsequent funding injections. With it came a sense of blind AI optimism, where organizations championed the technology without a clear understanding of its ROI and practical use cases. Some merely followed the AI crowd, adopting the technology out of a fear of being left behind. Looking back, and thinking about what’s to come in 2025, has much changed with regard to AI expectations? Are we still at the stage of blind AI optimism?

In short, no. We have luckily moved farther along the maturity path. We can see the hype cycle dissipating and are progressing from blind AI optimism to proven AI optimism – or, reliable AI. The manufacturing industry, which has made tremendous strides with reliable AI, serves as a case study for this journey, and one that other industries can learn from. But before we go down that path, we have to address the real possibility of an AI bubble that is likely to burst.

Irrational AI Exuberance?

Blind AI optimism – or excitement around the newest, shiniest AI technology without a clear understanding of its implications and tangible achievements – has generated a lot of attention and capital. For instance, analysts are watching Microsoft, Meta and Amazon make sizable investments in Nvidia’s AI-powered GPUs, but there are concerns these investments will not produce the revenue gains these companies are looking for.

We are starting to see whispers of this specific AI bubble bursting. MIT economist Daron Acemoglu warned that money poured into AI infrastructure investments may not match ROI expectations for investors. People were excited about the promise of AI, but now they are starting to worry it will mirror the dot-com bubble. Such an event could trigger other investors to become more skeptical of the AI narrative and seek quicker payoff timeframes or reduce those investments. The disillusionment is bubbling up.

Make no mistake, AI is going to change the way industries work, but it won’t happen by following the shiny object. Reliable AI is quantifiable and delivers real impact, typically behind the scenes and embedded into existing processes.

So, what is an example of reliable AI that is already showing success and will stand the test of time? The manufacturing industry presents significant use cases.

Measuring Manufacturing’s Success

A leading chemical company wanted to improve efficiency and reliability in their machines to avoid unscheduled downtime and operational disruptions. They invested in an AI-powered predictive maintenance solution that equips their teams with machine health insights and recommendations to proactively address problems. They achieved 7x ROI in less than a year.

In a similar vein, one of the world’s top food and beverage companies wanted to reduce product waste and optimize their factory capacity, so they piloted AI-enabled machine monitoring at four plants. They saw capacity increase by 4,000 hours a year and a reduction in waste of more than 2 million pounds of product. The results were so impactful the pilot scaled to all of their North-American facilities.

These real-world examples demonstrate the measurable impact of reliable AI, and they line up with broader industry trends. In a recent survey of 700+ global manufacturers, the top areas for quantifying the impact of AI on business objectives were supply chain management/optimization (41%), improving decision-making with prescriptive analytics (41%), and process health/maximizing yield and capacity (40%).

The year-over-year findings reveal the true progress that was made on this journey from blind optimism to proven results. Compared to the year before, three times as many respondents are now able to quantify AI’s impact on process health and twice as many can measure its impact on unplanned machine downtime. This demonstrates that manufacturers are getting better and more comfortable with using AI, which helps them realize a more profound return on investment.

With this increased confidence, 83% of global manufacturing leaders are increasing their AI budgets – which is key to business growth and effectively visualizing and acting on factory data. So, what about other industries that are lagging in AI success? They aren’t scaling fast enough.

Slow to Scale

Up until now, manufacturers and other industry leaders have been slow to scale AI, which has hindered the speed at which we have seen meaningful results. In fact, nearly 7 in 10 (67%) business leaders are slowly adopting AI, per a tech.co report.

AI is a tool, not an outcome. There has to be a culture shift in order to realize the true benefits of these investments – it has to be more than just putting sensors on machines. Skilled labor is already hard to keep and even harder to find. The US population is aging at a faster rate with fewer people entering the workforce. Now is the time to advance reliable AI because it is essential to retaining knowledge and pushing industries forward.

Generative AI tools like ChatGPT are impressive, but the business world needs more than that. It requires purpose-built AI aimed at specific and difficult problems – and it needs results. That is where reliable AI comes in, and manufacturing has provided an impressive playbook.

[expotime]

SDIC Riyadh 2025

[area51-escapee]

Dude signed into law a bill that explicitly strips care away from trans minors, but please, tell me more about how Biden is the most “trans friendly” President we’ve ever had.