#Power automation

[vbeyound]

Building Smarter Business Intelligence with Microsoft Power BI and Integration Services

Microsoft Power BI has become one of the most adopted platforms for data visualization and business intelligence. With the ability to transform raw data into actionable insights, organizations across industries are integrating Microsoft Power BI into their business environments to drive informed decisions and operational clarity.

Recent developments in Microsoft Power BI have introduced stronger AI features, improved integration with Power Apps, and seamless connection with Power Virtual Agents. These updates focus on delivering connected, interactive, and automated analytics for every business function.

Why Microsoft Power BI is Gaining Attention

Businesses are shifting from static reporting to dynamic dashboards that update in real-time. This transition is powered by Microsoft Power BI, offering user-friendly data dashboards, predictive modeling, and AI-driven analysis features that work for both technical and non-technical users.

Another key driver is its compatibility with Power Automation and low code app development, allowing organizations to automate reporting workflows, simplify data input processes, and deliver interactive reports without complex coding requirements.

Core Integration Capabilities

Azure Integration: Companies can connect their data lakes, cloud-based applications, and on-premise databases using Azure integration, feeding data seamlessly into Power BI dashboards.

Power Automation: With Power Automation, users create automated data refresh cycles, schedule report distributions, and trigger notifications based on report thresholds — all without manual intervention.

Low Code App Development: Using Power Apps, business users can build apps that collect, modify, and push data into Microsoft Power BI dashboards, improving data capture efficiency across departments.

Microsoft RPA (Robotic Process Automation): Microsoft RPA helps automate repetitive tasks such as data scraping, extraction, and uploading, which directly enhances the quality and timeliness of data visualized in Power BI reports.

Power Virtual Agents: By integrating Power Virtual Agents, organizations can deliver chat-based insights by connecting conversational interfaces to their Power BI dashboards, allowing non-technical users to query data instantly.

Benefits of a Connected Power BI Environment

Quicker access to real-time, accurate data for finance, sales, HR, and supply chain teams

Reduction of manual reporting efforts through scheduled automations

Stronger operational oversight with predictive insights and AI recommendations

Improved cross-department collaboration through shared dashboards

Scalable deployment options with Azure integration across geographies

By combining Power Automation, Power Apps, Microsoft Power BI, and Microsoft RPA, organizations build unified business intelligence ecosystems capable of scaling as they grow.

VBeyond Digital’s Role

VBeyond Digital provides end-to-end consulting for businesses seeking to maximize the potential of Microsoft Power BI. With structured services covering design, deployment, and optimization, their team helps businesses achieve both quick wins and long-term reporting success.

Their expertise extends beyond dashboard creation — supporting Power Automation setup, Azure integration, custom low code app development with Power Apps, and bot-assisted reporting using Power Virtual Agents. This creates a holistic solution that connects reporting, automation, and process management.

VBeyond Digital ensures that each deployment is aligned to the client’s goals, offering both technical precision and business context in every Power BI project.

Conclusion

Microsoft Power BI is more than a reporting tool; it’s a business enabler that integrates automation, low-code customization, and conversational interfaces to deliver meaningful insights across the organization. Companies looking to optimize their data strategy can benefit significantly from a well-planned integration approach combining Power Automation, Power Apps, Microsoft RPA, and Azure integration.

VBeyond Digital stands as a trusted partner in this journey, providing the technical guidance and process knowledge required to build robust, scalable, and intelligent reporting systems.

[ventique18]

Random thought

I just know 🐉 would copy Cater's signature spell to create an autonomous body double whose only purpose is to work. Just so his paperwork would still get done while he fucks off with you to some country or another. He'd also make a copy of you, of course, but that one's kinda brain dead and does nothing but read cheesy novels beside his double or crochet animal amigurumi or some other shit.

For some reason, the people in the castle never catch on. They don't really bother him while he works, so they just glance at the body double in admiration because it never even stands up to drink water or go to the restroom. They just conclude that their king is an actual god who doesn't need to eat, sleep, or piss. They knew it; the Draconias really were gods.

But Silver and Sebek know, of course. They know him more than anyone, and they know you too. So they also know that you love each other very much and you deserve all the alone time together that you could afford. So they pretend that nothing's wrong.

But they can't help their minds from wandering sometimes though...

If your body doubles were somehow able to... Make love. And reproduce. What would be of their child? Would that be considered a royal heir? What complications could come of such an odd conflict? Could they somehow overthrow the real ones and snatch the throne for themselves?

For everyone's sake... They just hope their lord made sure not to give the doubles reproductive organs.

[aiweirdness]

I discovered I can make chatgpt hallucinate tumblr memes:

This is hilarious and also I have just confirmed that GPT-4 does this too.

Bard even adds dates and user names and timelines, as well as typical usage suggestions. Its descriptions were boring and wordy so I will summarize with a timeline:

I think this one was my favorite:

Finding whatever you ask for, even if it doesn't exist, isn't ideal behavior for chatbots that people are using to retrieve and summarize information. It's like weaponized confirmation bias.

more at aiweirdness.com

[khytal]

I've never worked in retail or fast food but I think any job that involves regularly being contactable by/in the presence of the general public is the worst

[lazeecomet]

The Story of KLogs: What happens when an Mechanical Engineer codes

Since i no longer work at Wearhouse Automation Startup (WAS for short) and havnt for many years i feel as though i should recount the tale of the most bonkers program i ever wrote, but we need to establish some background

WAS has its HQ very far away from the big customer site and i worked as a Field Service Engineer (FSE) on site. so i learned early on that if a problem needed to be solved fast, WE had to do it. we never got many updates on what was coming down the pipeline for us or what issues were being worked on. this made us very independent

As such, we got good at reading the robot logs ourselves. it took too much time to send the logs off to HQ for analysis and get back what the problem was. we can read. now GETTING the logs is another thing.

the early robots we cut our teeth on used 2.4 gHz wifi to communicate with FSE's so dumping the logs was as simple as pushing a button in a little application and it would spit out a txt file

later on our robots were upgraded to use a 2.4 mHz xbee radio to communicate with us. which was FUCKING SLOW. and log dumping became a much more tedious process. you had to connect, go to logging mode, and then the robot would vomit all the logs in the past 2 min OR the entirety of its memory bank (only 2 options) into a terminal window. you would then save the terminal window and open it in a text editor to read them. it could take up to 5 min to dump the entire log file and if you didnt dump fast enough, the ACK messages from the control server would fill up the logs and erase the error as the memory overwrote itself.

this missing logs problem was a Big Deal for software who now weren't getting every log from every error so a NEW method of saving logs was devised: the robot would just vomit the log data in real time over a DIFFERENT radio and we would save it to a KQL server. Thanks Daddy Microsoft.

now whats KQL you may be asking. why, its Microsofts very own SQL clone! its Kusto Query Language. never mind that the system uses a SQL database for daily operations. lets use this proprietary Microsoft thing because they are paying us

so yay, problem solved. we now never miss the logs. so how do we read them if they are split up line by line in a database? why with a query of course!

select * from tbLogs where RobotUID = [64CharLongString] and timestamp > [UnixTimeCode]

if this makes no sense to you, CONGRATULATIONS! you found the problem with this setup. Most FSE's were BAD at SQL which meant they didnt read logs anymore. If you do understand what the query is, CONGRATULATIONS! you see why this is Very Stupid.

You could not search by robot name. each robot had some arbitrarily assigned 64 character long string as an identifier and the timestamps were not set to local time. so you had run a lookup query to find the right name and do some time zone math to figure out what part of the logs to read. oh yeah and you had to download KQL to view them. so now we had both SQL and KQL on our computers

NOBODY in the field like this.

But Daddy Microsoft comes to the rescue

see we didnt JUST get KQL with part of that deal. we got the entire Microsoft cloud suite. and some people (like me) had been automating emails and stuff with Power Automate

This is Microsoft Power Automate. its Microsoft's version of Scratch but it has hooks into everything Microsoft. SharePoint, Teams, Outlook, Excel, it can integrate with all of it. i had been using it to send an email once a day with a list of all the robots in maintenance.

this gave me an idea

and i checked

and Power Automate had hooks for KQL

KLogs is actually short for Kusto Logs

I did not know how to program in Power Automate but damn it anything is better then writing KQL queries. so i got to work. and about 2 months later i had a BEHEMOTH of a Power Automate program. it lagged the webpage and many times when i tried to edit something my changes wouldn't take and i would have to click in very specific ways to ensure none of my variables were getting nuked. i dont think this was the intended purpose of Power Automate but this is what it did

the KLogger would watch a list of Teams chats and when someone typed "klogs" or pasted a copy of an ERROR mesage, it would spring into action.

it extracted the robot name from the message and timestamp from teams

it would lookup the name in the database to find the 64 long string UID and the location that robot was assigned too

it would reply to the message in teams saying it found a robot name and was getting logs

it would run a KQL query for the database and get the control system logs then export then into a CSV

it would save the CSV with the a .xls extension into a folder in ShairPoint (it would make a new folder for each day and location if it didnt have one already)

it would send ANOTHER message in teams with a LINK to the file in SharePoint

it would then enter a loop and scour the robot logs looking for the keyword ESTOP to find the error. (it did this because Kusto was SLOWER then the xbee radio and had up to a 10 min delay on syncing)

if it found the error, it would adjust its start and end timestamps to capture it and export the robot logs book-ended from the event by ~ 1 min. if it didnt, it would use the timestamp from when it was triggered +/- 5 min

it saved THOSE logs to SharePoint the same way as before

it would send ANOTHER message in teams with a link to the files

it would then check if the error was 1 of 3 very specific type of error with the camera. if it was it extracted the base64 jpg image saved in KQL as a byte array, do the math to convert it, and save that as a jpg in SharePoint (and link it of course)

and then it would terminate. and if it encountered an error anywhere in all of this, i had logic where it would spit back an error message in Teams as plaintext explaining what step failed and the program would close gracefully

I deployed it without asking anyone at one of the sites that was struggling. i just pointed it at their chat and turned it on. it had a bit of a rocky start (spammed chat) but man did the FSE's LOVE IT.

about 6 months later software deployed their answer to reading the logs: a webpage that acted as a nice GUI to the KQL database. much better then an CSV file

it still needed you to scroll though a big drop-down of robot names and enter a timestamp, but i noticed something. all that did was just change part of the URL and refresh the webpage

SO I MADE KLOGS 2 AND HAD IT GENERATE THE URL FOR YOU AND REPLY TO YOUR MESSAGE WITH IT. (it also still did the control server and jpg stuff). Theres a non-zero chance that klogs was still in use long after i left that job

now i dont recommend anyone use power automate like this. its clunky and weird. i had to make a variable called "Carrage Return" which was a blank text box that i pressed enter one time in because it was incapable of understanding /n or generating a new line in any capacity OTHER then this (thanks support forum).

im also sure this probably is giving the actual programmer people anxiety. imagine working at a company and then some rando you've never seen but only heard about as "the FSE whos really good at root causing stuff", in a department that does not do any coding, managed to, in their spare time, build and release and entire workflow piggybacking on your work without any oversight, code review, or permission.....and everyone liked it

[wahoo-stomp]

I spent five years coming up with unique ways to photograph the same group of plushies to help tell a story.

You don't need AI to help you be creative, you're just being lazy and want brain chemicals without doing any of the work or respecting the people who put time and effort into it.

[frances-kafka]

Moderns who wanna be trad, really shouldn't pick the 50s to do it about if they wanna call themselves trad.

There was nothing "trad" about the 50s. First of all, the idea that women don't work and aren't involved in actual *production* let alone household production, was relatively new and... to a large degree, downstream of much of pre-war household production being augmented by technology and mass production. the idea that a household of five people could be supported on 40 hours a week, without the wife and children also being involved in production, was absolutely downstream of technology. So was a woman running a house without having to have a team of servants.

The "nuclear family" was a stepping stone toward atomization, in an economy that lasted for about... five minutes. It literally was a cultural artifact lasting twenty years only.

And it was futuristic as fuck, and downstream of technological innovation, not a return to the golden days, which most people actually remembered as quite horrible.

If you really wanna live in the spirit of the 50s for any reason but the shittiest and most sexist/racist parts of it, you'd want several Roomba's and a self driving car and would be the world's most annoying space nerd.

And you'd be great with stronger unions and you'd probably be okay with vaccines

[bacchuschucklefuck]

I am honestly living for your worse manga au. Its actually so fucking cool :D i love the way you draw the action- and the idea of attacking (and being able to attack) a spirit is such a fun idea!

-Death Anon

thanks! doing this idly has been teaching me a Lot about choreographing fight scenes in a comic, which hopefully i won't have to do something serious with any time soon haha. and what it's turned out for this AU is a bunch of people who are really desperate to never be hurt again get locked in an arms race to find a way to hurt other people that won't come around and get them eventually, which does justify the magic i think, but also it does push for the magic to also be completely brutal and the visual behavior of spirits and souls to be the same as, if not worse, than the regular body. tldr all the shit marik pulls in canon (especially the scarab hourglass) owns hard and i want in and also for it to be worse and more direct. i'm glad this has wider appeal than to just me lol. cheers!

[bmpmp3]

*clangs pots and pans together* ITS 1 AM!!!!! EVERYONE COME LISTEN TO MY SVS2 TESTS

(svp by harujpg)

[bitcot]

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[jcmarchi]

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

New Post has been published on https://thedigitalinsider.com/ganesh-shankar-ceo-co-founder-of-responsive-interview-series/

Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

Ganesh Shankar, CEO and Co-Founder of Responsive, is an experienced product manager with a background in leading product development and software implementations for Fortune 500 enterprises. During his time in product management, he observed inefficiencies in the Request for Proposal (RFP) process—formal documents organizations use to solicit bids from vendors, often requiring extensive, detailed responses. Managing RFPs traditionally involves multiple stakeholders and repetitive tasks, making the process time-consuming and complex.

Founded in 2015 as RFPIO, Responsive was created to streamline RFP management through more efficient software solutions. The company introduced an automated approach to enhance collaboration, reduce manual effort, and improve efficiency. Over time, its technology expanded to support other complex information requests, including Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and security questionnaires.

Today, as Responsive, the company provides solutions for strategic response management, helping organizations accelerate growth, mitigate risk, and optimize their proposal and information request processes.

What inspired you to start Responsive, and how did you identify the gap in the market for response management software?

My co-founders and I founded Responsive in 2015 after facing our own struggles with the RFP response process at the software company we were working for at the time. Although not central to our job functions, we dedicated considerable time assisting the sales team with requests for proposals (RFPs), often feeling underappreciated despite our vital role in securing deals. Frustrated with the lack of technology to make the RFP process more efficient, we decided to build a better solution.  Fast forward nine years, and we’ve grown to nearly 500 employees, serve over 2,000 customers—including 25 Fortune 100 companies—and support nearly 400,000 users worldwide.

How did your background in product management and your previous roles influence the creation of Responsive?

As a product manager, I was constantly pulled by the Sales team into the RFP response process, spending almost a third of my time supporting sales instead of focusing on my core product management responsibilities. My two co-founders experienced a similar issue in their technology and implementation roles. We recognized this was a widespread problem with no existing technology solution, so we leveraged our almost 50 years of combined experience to create Responsive. We saw an opportunity to fundamentally transform how organizations share information, starting with managing and responding to complex proposal requests.

Responsive has evolved significantly since its founding in 2015. How do you maintain the balance between staying true to your original vision and adapting to market changes?

First, we’re meticulous about finding and nurturing talent that embodies our passion – essentially cloning our founding spirit across the organization. As we’ve scaled, it’s become critical to hire managers and team members who can authentically represent our core cultural values and commitment.

At the same time, we remain laser-focused on customer feedback. We document every piece of input, regardless of its size, recognizing that these insights create patterns that help us navigate product development, market positioning, and any uncertainty in the industry. Our approach isn’t about acting on every suggestion, but creating a comprehensive understanding of emerging trends across a variety of sources.

We also push ourselves to think beyond our immediate industry and to stay curious about adjacent spaces. Whether in healthcare, technology, or other sectors, we continually find inspiration for innovation. This outside-in perspective allows us to continually raise the bar, inspiring ideas from unexpected places and keeping our product dynamic and forward-thinking.

What metrics or success indicators are most important to you when evaluating the platform’s impact on customers?

When evaluating Responsive’s impact, our primary metric is how we drive customer revenue. We focus on two key success indicators: top-line revenue generation and operational efficiency. On the efficiency front, we aim to significantly reduce RFP response time – for many, we reduce it by 40%. This efficiency enables our customers to pursue more opportunities, ultimately accelerating their revenue generation potential.

How does Responsive leverage AI and machine learning to provide a competitive edge in the response management software market?

We leverage AI and machine learning to streamline response management in three key ways. First, our generative AI creates comprehensive proposal drafts in minutes, saving time and effort. Second, our Ask solution provides instant access to vetted organizational knowledge, enabling faster, more accurate responses. Third, our Profile Center helps InfoSec teams quickly find and manage security content.

With over $600 billion in proposals managed through the Responsive platform and four million Q&A pairs processed, our AI delivers intelligent recommendations and deep insights into response patterns. By automating complex tasks while keeping humans in control, we help organizations grow revenue, reduce risk, and respond more efficiently.

What differentiates Responsive’s platform from other solutions in the industry, particularly in terms of AI capabilities and integrations?

Since 2015, AI has been at the core of Responsive, powering a platform trusted by over 2,000 global customers. Our solution supports a wide range of RFx use cases, enabling seamless collaboration, workflow automation, content management, and project management across teams and stakeholders.

With key AI capabilities—like smart recommendations, an AI assistant, grammar checks, language translation, and built-in prompts—teams can deliver high-quality RFPs quickly and accurately.

Responsive also offers unmatched native integrations with leading apps, including CRM, cloud storage, productivity tools, and sales enablement. Our customer value programs include APMP-certified consultants, Responsive Academy courses, and a vibrant community of 1,500+ customers sharing insights and best practices.

Can you share insights into the development process behind Responsive’s core features, such as the AI recommendation engine and automated RFP responses?

Responsive AI is built on the foundation of accurate, up-to-date content, which is critical to the effectiveness of our AI recommendation engine and automated RFP responses. AI alone cannot resolve conflicting or incomplete data, so we’ve prioritized tools like hierarchical tags and robust content management to help users organize and maintain their information. By combining generative AI with this reliable data, our platform empowers teams to generate fast, high-quality responses while preserving credibility. AI serves as an assistive tool, with human oversight ensuring accuracy and authenticity, while features like the Ask product enable seamless access to trusted knowledge for tackling complex projects.

How have advancements in cloud computing and digitization influenced the way organizations approach RFPs and strategic response management?

Advancements in cloud computing have enabled greater efficiency, collaboration, and scalability. Cloud-based platforms allow teams to centralize content, streamline workflows, and collaborate in real time, regardless of location. This ensures faster turnaround times and more accurate, consistent responses.

Digitization has also enhanced how organizations manage and access their data, making it easier to leverage AI-powered tools like recommendation engines and automated responses. With these advancements, companies can focus more on strategy and personalization, responding to RFPs with greater speed and precision while driving better outcomes.

Responsive has been instrumental in helping companies like Microsoft and GEODIS streamline their RFP processes. Can you share a specific success story that highlights the impact of your platform?

Responsive has played a key role in supporting Microsoft’s sales staff by managing and curating 20,000 pieces of proposal content through its Proposal Resource Library, powered by Responsive AI. This technology enabled Microsoft’s proposal team to contribute $10.4 billion in revenue last fiscal year. Additionally, by implementing Responsive, Microsoft saved its sellers 93,000 hours—equivalent to over $17 million—that could be redirected toward fostering stronger customer relationships.

As another example of  Responsive providing measurable impact, our customer Netsmart significantly improved their response time and efficiency by implementing Responsive’s AI capabilities. They achieved a 10X faster response time, increased proposal submissions by 67%, and saw a 540% growth in user adoption. Key features such as AI Assistant, Requirements Analysis, and Auto Respond played crucial roles in these improvements. The integration with Salesforce and the establishment of a centralized Content Library further streamlined their processes, resulting in a 93% go-forward rate for RFPs and a 43% reduction in outdated content. Overall, Netsmart’s use of Responsive’s AI-driven platform led to substantial time savings, enhanced content accuracy, and increased productivity across their proposal management operations.

JAGGAER, another Responsive customer, achieved a double-digit win-rate increase and 15X ROI by using Responsive’s AI for content moderation, response creation, and Requirements Analysis, which improved decision-making and efficiency. User adoption tripled, and the platform streamlined collaboration and content management across multiple teams.

Where do you see the response management industry heading in the next five years, and how is Responsive positioned to lead in this space?

In the next five years, I see the response management industry being transformed by AI agents, with a focus on keeping humans in the loop. While we anticipate around 80 million jobs being replaced, we’ll simultaneously see 180 million new jobs created—a net positive for our industry.

Responsive is uniquely positioned to lead this transformation. We’ve processed over $600 billion in proposals and built a database of almost 4 million Q&A pairs. Our massive dataset allows us to understand complex patterns and develop AI solutions that go beyond simple automation.

Our approach is to embrace AI’s potential, finding opportunities for positive outcomes rather than fearing disruption. Companies with robust market intelligence, comprehensive data, and proven usage will emerge as leaders, and Responsive is at the forefront of that wave. The key is not just implementing AI, but doing so strategically with rich, contextual data that enables meaningful insights and efficiency.

Thank you for the great interview, readers who wish to learn more should visit Responsive,

[knittinglizards]

having an idea (to understate it) for another stardew save after i get to perfection on my newer sve file instead of playing anything in my backlog

fishpong

[man-and-atom]

If the cultivation of science by Europe has any moral significance, it is in its rescue of man from outrage by nature, — not its use of man as a machine but its use of the machine to harness the forces of nature in man’s service.

—Rabindranath Tagore, 1925

[ramautomations123]

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