#Generative AI Into BI Systems

[public-cloud-computing]

How Generative AI is Improving Business Forecast Accuracy

Reference : How Generative AI is Improving Business Forecast Accuracy - Medium

The age of digital transformation is upon us, and organizations are actively searching for inventive methods of outperforming rivals. One of the most revolutionary achievements in this regard is the inclusion of Generative AI into BI systems. Generative AI — a sub-category of AI that can create new data samples that are similar to a given set of data — is the revolutionary in forecasting and planning that BI uses. This article shows how generative AI is going to change the way we use business intelligence for forecasting and planning, its advantages, applications and ethical challenges.

The development of Business Intelligence

However, to start with the place of AI in BI forecasting and planning, it is important to comprehend the development of BI and its role in modern operation. Being a term that encompasses different tools, applications and methodologies, Business Intelligence enable an organization to gathering, analyzing and interpreting data to make the right decisions. Traditional BI platforms were mainly based on descriptive and diagnostic analytics with the focus on past performance and identifying prevailing trends.

Hence, with companies appreciating more and more the crucial role of predictive and prescriptive analytics for future success and competitive advantage, there is a heightened requirement for progressively complicated and competent BI tools. It is at this point where generative AI is brought into the equation, characterized by high-level capabilities capable of reshaping BI forecasting and planning strategies.

Through Generative AI in BI Forecasting and Planning, its capabilities can be utilized.

Enhanced Predictive Analytics

Generative AI uniquely increases the efficiency of predictive analytics through the use of complex data sets with advanced machine learning algorithms that factor out the accuracy of predictive models. It is true that unlike the traditional predictive analytics which mostly rely on predetermined algorithms and patterns, the power of AI is in its ability to create new data points and imaginary characters. This opens new opportunities for businesses to know the changing trends of the market better than their competitors and therefore become more efficient.

Generative AI is capable of identifying hidden patterns and subtle relationships contained in big and complex data sets which traditional BI tools fail to catch. Through the crunching of different variables and factors, generative AI can determine business’ insights into the market trends, customer behavior and possible threats and opportunities so that they can make decisions with aim of making the business to be successful.

Scenario Simulation

One of the further developments of AI generative technology is the scenario simulation which facilitates the forecasting and planning strategizing. Generative AI is capable of simulating multiple business scenarios due to its capability to generate synthetic datasets which are based on historical data. This way businesses are able to check and compare alternative strategies and their expected consequences allowing them to make wise decisions in the course of their planning process.

Realistic and accurate simulation by generative AI help to identify eccentric risks and probable openings, estimate the direction of different factors and see that business strategy is sturdy and responsive. This leads to increased agility and durability of enterprises, which allows them to follow quickly the rapidly flowing changes of market conditions and to grab new business opportunities.

Personalized Insights

The AI technologies also generates the personalized responses by analyzing the user’s behavior and inclination. Such an approach helps to uncover the most appropriate marketing and sales directions, which leads to great chances to increase among clients and their loyalty.

Revealing customer data, e.g. shopping history, browsing behavior and interaction with marketing campaigns, through sophisticated data analysis generative AI can find shortcomings and trends and craft personalized offers and recommendations for customers. It helps in planning and implementing marketing and sales strategies, thus it creates consumer engagement and sales growth.

Automating Routine Tasks

Generative AI might even be able to run the whole of the forecasting and planning activities, including data collection, processing and report writing. It gives BI professional additional spare time to focus more on strategic and analytical applications rather than spending it on simple data arrangement.

Generative AI in automation can help companies reduce routinary and time-consuming jobs and help them to grow in operations’ efficiency, cut down on operational costs and make their decision-making quicker. By doing this BI team productivity and performance will show up eventually allowing the team members to deliver more value to the organization.

Real-time Analytics

Generative AI does real-time analytics to keep tabs on the market updates and, consequently, helps a company to act in a timely manner, whenever there is a need for any market adjustments. However, this ability may be critically vital for industrial sectors that have very volatile markets such as retail, finance, and health care.

Thanks to real-time data analysis, generative AI brings business with a unique opportunity to spot and address emergent trends early, find new prospects, and stay informed about their key performance indicators in order to maximize performance and avoid losses on the spot. Technological advancement gives businesses a real edge of fast-decision making and flexibility, and it helps them to take the most of their opportunities.

Improved Data Quality

Generative AI has a great potential of boosting dat quality through detection and correction of such errors as clashing, inconsistency and outliers in data sets. As a result of this, forecasting will have a stronger fundament and would be more reliable and accurate, which minimizes the risk of making hasty decisions that are based on incomplete information.

Through enhancing data quality, generative AI gives to the businesses the opportunity to acquire better decisions thanks more to evidence and veracity, better shape the predictive models’ reliability and accuracy, as well as to enhance the efficiency of the forecasting and planning processes. This improves the accuracy and trustworthiness of the information promoted by BI which helps the businesses make informed decisions with vigour.

Ethical Considerations

Even if generative AI in BI can bring about positive outcomes in forecasting and planning, one should also think about AI ethic issues which might arise and hinder the implementation of this technology. Enterprises should pay special attention that AI models are trained and applied with data collected and used in accordance with the data ethical norms, privacy and compliance regulations established by the lawmakers.

Data Privacy and Security

The AI of the future relies on getting access to relevant and numerous data sets to create meaningful and valued outputs. Companies must have data privacy and security policies to be aware of threats of data misuse, unauthorized access and breaches. Those policies must ensure that only authorized personnel could access sensitive and confidential information of others.

Transparency and Accountability

Therefore, generative AI, which has complex machine learning algorithms to achieve their goals and yield outcomes that are sometimes difficult to decode is one of the advanced technologies of AI. The realm of ethics should include but not be limited to the notion of how the AI “black boxes” function, how decision making comes about, or how any possible biases are identified and dealt with.

Fairness and Bias

AI that is able to creatively could unwittingly therefore keep and amplify the current unfavorable and unfair indications, which is present in the training data for the model. Organizations should eliminate bias and identify mechanisms that can modulate the bias and promote equality. Thus, A.I. must generate unbiased and equitable information.

Conclusion

In the meantime, generative AI is making BI more efficient with imperative analytics, allowing to simulate with different scenarios, wherever applicable providing specific insights on an individual level, automating the routine tasks, availability of real-time analytics, increment in the quality of the data as well as securing the competitive advantage. However, businesses should indeed manage not only the operative questions, but also the ethical aspects confirming due performance when working with data in order to take the best from generative AI in BI.

The prominence of generative AI in today’s business sphere is unimaginable. Businesses always modernize and adapt to changing business environments. This calls for businesses to implement outputs of generative AI in their BI systems into lately. Through the inclusive implementation of the transforming impact of AI with the ethics keeping quiet, companies can become successful because of the cut-throat competition and the fast moving of businesses, in the business world.

[enterprise-cloud-services]

From predictions to planning, generative AI is redefining business intelligence. Learn how it’s revolutionizing forecasting strategies.

[rubylogan15]

From predictions to planning, generative AI is redefining business intelligence. Learn how it’s revolutionizing forecasting strategies.

[dieterziegler159]

Generative AI is driving innovation in business intelligence by introducing cutting-edge forecasting and planning strategies for success.

[mariacallous]

Next year will be Big Tech’s finale. Critique of Big Tech is now common sense, voiced by a motley spectrum that unites opposing political parties, mainstream pundits, and even tech titans such as the VC powerhouse Y Combinator, which is singing in harmony with giants like a16z in proclaiming fealty to “little tech” against the centralized power of incumbents.

Why the fall from grace? One reason is that the collateral consequences of the current Big Tech business model are too obvious to ignore. The list is old hat by now: centralization, surveillance, information control. It goes on, and it’s not hypothetical. Concentrating such vast power in a few hands does not lead to good things. No, it leads to things like the CrowdStrike outage of mid-2024, when corner-cutting by Microsoft led to critical infrastructure—from hospitals to banks to traffic systems—failing globally for an extended period.

Another reason Big Tech is set to falter in 2025 is that the frothy AI market, on which Big Tech bet big, is beginning to lose its fizz. Major money, like Goldman Sachs and Sequoia Capital, is worried. They went public recently with their concerns about the disconnect between the billions required to create and use large-scale AI, and the weak market fit and tepid returns where the rubber meets the AI business-model road.

It doesn’t help that the public and regulators are waking up to AI’s reliance on, and generation of, sensitive data at a time when the appetite for privacy has never been higher—as evidenced, for one, by Signal’s persistent user growth. AI, on the other hand, generally erodes privacy. We saw this in June when Microsoft announced Recall, a product that would, I kid you not, screenshot everything you do on your device so an AI system could give you “perfect memory” of what you were doing on your computer (Doomscrolling? Porn-watching?). The system required the capture of those sensitive images—which would not exist otherwise—in order to work.

Happily, these factors aren’t just liquefying the ground below Big Tech’s dominance. They’re also powering bold visions for alternatives that stop tinkering at the edges of the monopoly tech paradigm, and work to design and build actually democratic, independent, open, and transparent tech. Imagine!

For example, initiatives in Europe are exploring independent core tech infrastructure, with convenings of open source developers, scholars of governance, and experts on the political economy of the tech industry.

And just as the money people are joining in critique, they’re also exploring investments in new paradigms. A crop of tech investors are developing models of funding for mission alignment, focusing on tech that rejects surveillance, social control, and all the bullshit. One exciting model I’ve been discussing with some of these investors would combine traditional VC incentives (fund that one unicorn > scale > acquisition > get rich) with a commitment to resource tech’s open, nonprofit critical infrastructure with a percent of their fund. Not as investment, but as a contribution to maintaining the bedrock on which a healthy tech ecosystem can exist (and maybe get them and their limited partners a tax break).

Such support could—and I believe should—be supplemented by state capital. The amount of money needed is simply too vast if we’re going to do this properly. To give an example closer to home, developing and maintaining Signal costs around $50 million a year, which is very lean for tech. Projects such as the Sovereign Tech Fund in Germany point a path forward—they are a vehicle to distribute state funds to core open source infrastructures, but they are governed wholly independently, and create a buffer between the efforts they fund and the state.

Just as composting makes nutrients from necrosis, in 2025, Big Tech’s end will be the beginning of a new and vibrant ecosystem. The smart, actually cool, genuinely interested people will once again have their moment, getting the resources and clearance to design and (re)build a tech ecosystem that is actually innovative and built for benefit, not just profit and control. MAY IT BE EVER THUS!

[whimsical-laboratory-tragedy]

Hi! I’m Lee

My old blog was cast into eternal exile within a dark abyss, so now I have a new one :)

I have a Minecraft Server

Occasionally I write fan fiction (currently life of luxury/luxury dark and good omens)

I made a pronouns page

Please no donation asks! I will delete them! I’m not in a position to help anyone financially, sorry!

More details under the cut!

My old blog was @mossy-enigma, it takes a bit of explaining why I deleted it. If any previous moots want to know you can message me and I’ll explain

Tagging System

#whimsical posts - my original posts

#whimsical reblogs - my reblogs

#whimsical asks - when I answer asks

Idk if im doing this right- we’ll see (also some things may not be tagged due to me forgetting or them being posted before I implemented this system)

Anyways, here’s some other info about me

I’m a writer, artist, and just a creative in general

I’m anti generative ai

I’m a minor (don’t be weird)

I'm neurodivergent (undiagnosed but something’s off in my head)

I’m bi-oriented and probably somewhere on the aroace spectrum, idk honestly

I’m a demiboy

Fandoms / Media I Enjoy

Books - I’m not even going to try bc I’ll be here for hours

Games - Minecraft, Stardew Valley, Animal Crossing, Cattails 1 and 2, Deadplate, Flame and the Flood, Gacha Life?

Shows/Movies - Good Omens (I don’t support Neil Gaiman), Star Trek, Lost, The Owl House, Fried Green Tomatoes, Firefly, Murderbot, Song of The Sea+ more probablyyy

Music - Will Wood, Lemon Demon, Chapel Roan, Junie & The Hutfriends, Andrew Bird, Fish in a Birdcage, Cavetown, The Crane Wives, Florence + The Machine, Hozier, Mitski, Mother Mother, Jack Stauber, Gorillaz, Miracle Musical, Yaelokre, MARINA, Insane Clown Posse, + More

Musicals - Matilda, Hamilton, Little Shop of Horrors, Wicked, Sweeney Todd, Nerdy Prudes Must Die, The Addams Family, Jesus Christ Superstar, Legally Blonde, Mean Girls, The Greatest Showman, Six, Ride the Cyclone, Dear Evan Hansen, + probably more idk

YouTube Series - Hermitcraft SMP, Empires SMP, Sanders Sides, Life of Luxury/Luxury Dark, The Backrooms (specifically the Kane Pixels series)

Pfp picrew

[felix-01000101]

Introduction post (DNI LIST AT VERY END)

Heya, you can call me Felix or Rye. I am a minor who reblogs stuff I think is neat, stands up for trans rights, and occasionally vents about my parents.

Pronouns page:

Feel free to send anything into my asks as long as it's not

Donations - they will be reblogged on @felix-donos

Hateful comments - your post will just be deleted and you will be blocked (unless I have a very juicy response to give)

Interests

Coding, AI (including ethics) and technology

Most fandoms (especially FNAF, The Wild Robot, BG3, Heartstopper, TSP and TCOAAL)

Music (anything really)

Identity

I have a LOT of labels I use for myself (Maybe I'll bring back the LGBallTs when I redo them). However I mostly use these:

Termcollector

Genderhoarder

Abrosexual

Aroace(spec)

Quoiromantic

Idemromantic

Platoweird

(Bi) Gaybian

Lesboy

Turigirl

Multimonogender

Abrogender

Transmasc

Transfem

Transneutral

Transxenine

Catgender/Cathoarder

Robogender

Angelgender

Kingender

Altersex/Bigenital*

I'm also alterhuman, a therian (mostly otherheart and otherlink) and otherkin (fictionflicker, cambikin and demihuman)

* (I used to also use salmacian as well, but considering the controversy, and me not liking the alternative label, that pretty much only leaves these)

Views

As you can probably guess, I am pro-contradictory labels, pro-MOGAI, and what is now dubbed being proqueer. I am also against terms such as "TMA/TME" and a hater of transmisandry

I am generally anti-discourse

As of recent, I am a traumaendo plurallet. If you don't like that, then this is your warning.

I am neutral on most topics, unless they pertain to the human rights/lives of others. (I.e I am anti-genocide, anti-war and against antisemitism)

I do not believe zionism is inherently bad (judging from the words of Jews themselves). I no longer share this view. However, I still have many questions related to Israel that if you're willing to DM me about, I can ask. I'm still anti-genocide though.

I am a neushipper. Whilst I have nothing against proshippers, darkships make me uncomfortable. I believe in SALS, have complex views on whether fiction affects reality, and am neutral on kodacons. Above all, I ask that people tag their stuff with relevant trigger warnings, respect DNIS, and don't post darkships onto shorts-style platforms (since it's wayyy too easy for minors to find them there)

I am supportive of those with paraphillias (including if you are one of the big 3, as long as you are anti-contact ofc)

I do not support radical feminism, and strongly believe in equality FOR EVERYONE

Other blogs

@ryebread-07 - OC posts (not very active)

@neuship-zone - Shipping and multifandom posts

@the-mechanical-void - System blog

@felixventing - self explanatory

@felix-donos - self explanatory

DNI list is under the dashed line.

------------------------------------------------------

DNI List

MAPs of any kind

Anti-recovery/pro-contact harmful paras

Racists

Antisemites

Bigots (including exclusionists of all kinds, but not including those who are anti-radqueer or anti-transID - see 'thin ice')

Radfems

Anti-therians and anti-otherkin

NSFW/kink blogs (I'm a minor)

(Pro-)self harm blogs (too triggering)

Suibait/toxic/pro-harassment/etc. (Basically, if you're the kinda person to bully people online or insult them very harshly, DNI. My mental health is poor enough)

Thin ice:

TMA/TME users (can like and send asks but not reblog)

Darkshippers (can like and reblog but don't DM/send asks unless requested)

Radqueers (can interact normally but I block freely)

TransID (can interact normally but I block freely)

Syscourse blogs (I don't really want to be involved)

Alright post over, enjoy these userboxes!

[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

[public-cloud-computing]

Discover the future of business intelligence with generative AI. See how it’s revolutionizing forecasting and planning strategies.

[enterprise-cloud-services]

Unlock the potential of generative AI in business intelligence. Discover how it’s reshaping forecasting and planning for smarter insights.

[rubylogan15]

Unlock the potential of generative AI in business intelligence. Discover how it’s reshaping forecasting and planning for smarter insights.

[clansrewritten]

Another Monday another bi weekly blog post!!

This week, like the previous, is juicy! I really am enjoying the one-a-day method even if it's not the most efficient it keeps me working on this passion project and from burning out!

First things first, I fixed the *AWFUL* lag spikes caused by the calculations mice run when fleeing from the player. It was running the code more than necessary but it is now fixed! When the full base mechanics are done, before we add npcs I'll be doing tweaks to polish the prey AI's but for now it's great!

Next is secondaries,(secondaries are the patterns that go on your pelt, ex: spots,) there was a problem with them, they are *always on top* of everything, unfortunately there is only one way to fix it but it is a hefty load that I'll start on today after I shower and get this out!

TDLR: the system needs a rework.

Next is that I added BACKGROUNDS, you can be a kittypet, stray or a clan born cat! Technically because the first map has no houses and there's no npcs yet, stray and kittypet have no difference but later they will be distinguishable! These backgrounds also change where you spawn, clan born cats spawn where their clan is while strays spawn in random-ish locations, I made a small map below with the red being stray locations and the blue being clans!

Minor change but the ugly generic sand bridge is now a super awesome path of rocks in the water, although it's functionally decoration now, in the future it'll cost stamina to cross, you can pounce on other cats crossing (hopefully they can swim 😬) and special events may cover it preventing non swimming cats from crossing!

Stamina is another mechanic that has been added! When doing actions like pouncing, you'll lose stamina, stamina is slowly regained every couple seconds in a batch of 10, you start with a base maximum stamina star of 100. It's not super complicated but I want to add it as another mechanic that affects your decision making but isn't a drag to play with.

Another base mechanic has also been added, sleeping and sleep deprivation! You have 4 bars of sleep that fade as the passes, but I'd you don't sleep out will go into the negatives causing you to have less stamina and eventually, *die*. You can also see i made an awful looking sleep indicator button, it needs polishing but it's the basis for other button prompts for things like burying prey.

A concern was brought up a long while ago by the games co-desginer (MsWolfy/Whimsy). The issue was that some people with disabilities or just in general may struggle to estimate where they will land when pouncing on prey, in the settings there is now a pouncing indicator! It's simply a red circle, I prefer to adjust myself but for someone who really needs it, it's there for you!! Also making this mechanic forced me to re-look at the pounce mechanic and realize that it was abhorrently coded and a mess to figure out where you would land, however it is now an exact sciences, down to the pixels!

And lastly but definitely not least, character randomization! Randomize; names (currently breaks when building the game for release but I'm working on that) pelt color, pelt secondary and the secondaries color too!

Anyway, my next update may not be so packed, I think the first week will be spent on bug fixes and polish, adjustments and smaller mechanics however I think that that's just as important as the big things!!! Have a lovely day or evening

Want to follow the progress of Clans:Rewritten?

Here's a list of our social links as of the posting date!

Enjoy :3

TRELLO BOARD (https://trello.com/b/wDOtypeX/clans-rewritten

DISCORD SERVER ( check other accounts like Tumblr for the link!

TUMBLR (https://www.tumblr.com/clansrewritten?source=share

GAMEJOLT (https://gamejolt.com/games/warriorcatssimulator/928727

INSTAGRAM (https://www.instagram.com/warriorcatslifesim?utm_source=qr&igsh=MWc2bjBhbzB3bHVzaw==

If you don't know what Clans Rewritten is here's a short descriptor: "Clans Rewritten is a 2D rpg game inspired by warrior cats, it provides a single-player roleplaying experience where the cats around you act dynamically with your and eachothers actions"

[minedxai]

The Role of AI in Logistics and Supply Chain Management: Revolutionizing Business Intelligence!

Artificial Intelligence (AI) tried to be a Transformative security technology logistics and supply chain management, and a range. The Global Logical Industry, valuable to over $ 8, is more idealized with rationalization, operations, improvements, and reduced costs. The pre-intelligent auto-shaping analysis forms the future of chain management that lets you further introduce and promote Business intelligence (BI). One of their most essential applications in logistics is their ability to optimize operational efficiency. Traditionally, chain management was based on static data and manual processes that were bright and subjective.

With AI in logistics and supply chain, companies now have access to the objective analysis of predictive data and models that can optimize everything by the parliament's management. Their systems use large amounts of data to ensure the question, regulate the inventory levels, and provide for the string of strings. Algorithms of automatic learners can analyze past performance, weather conditions, market trends, and other variables to generate predictions. This ability allows the companies to make proactive decisions that reduce the risk or excessive inventory, which leads to improvement and money satisfaction.

Logistics plays an essential role in street optimization. Traditional distribution systems through the best source like Mined XAI often use basic algorithms to plan the most effective shipment routes. However, it may consider a great range of factors such as traffic pretenses, predictions of the street. These points can adjust dynamically and minimize time and fluctuating operational costs. Sleep Management is another area that has a significant impact. Automation through the logistics companies enables them to improve their storage trials. Robotics drive with him and turn those goods are stored, sent, and sent.

Artificial Intelligence in supply chain: The systems to turn on by constantly increasing inventory levels

The automated passage's vowel is still to move inside and out of stores with minimum human interference. Systems concentrated on driving these cars, allowing them to collaborate with human workers. This shows productivity and reduces the risk of human error and security. Moreover, it is revolutionizing stock management in the warehouse. Artificial Intelligence in supply chain, the systems are turned on by constantly increasing inventory levels, predicting the non-products, and making recommendations for reorganizing the claims of the cl. This reduces the supervision and reserves, which are common pain in supply chain management.

In the more regions to exchange an analysis "AI" various chain proposed provisions unprofitability and proficiency. Companies can simulate different predictions, distribution calendars, and choices for suppliers to understand the impact on their net profit. This analysis gives companies a competitive advantage, allowing them to respond more effectively to market changes and operational backgrounds. Predictive analysis is another area where you offer extraordinary value in chain management and a successful chain.

Business intelligence AI works together to provide a complete view of supply chain performance.

The union of artificial intelligence and business intelligence is one of the most influential advances in the supply chain field. BI troops help companies analyze and present data significantly. Business intelligence AI works together to provide a complete view of supply chain performance. Improved traditional application of automatic learning algorithms to analyze groups of massive data, identify trends, and anticipate future results. For example, it can ensure consumption requests, helping your supply chain shows make it based on supply and logistics.

Predicate maintenance is another valuable application where you can predict when cars or equipment in the supplies are likely to fail and reduce repair time. Integration of integration in the supply chain even improves the customer's experience. Allow the wicked of the supplied string to provide the exhilaration of the most accurate distribution, improvement, and service services. Analyzing customer data can predict purchasing behavior and preferences, allowing technologies rationalize communication and experience for the final customer.

Conclusion

It's already started to fund the logistics and management of the prostitution chain, producing a revolution in efficiency and automating analysis. Business intelligence allows companies to make the best data decisions, improve operational performance, and reduce costs. As a result to event and road planning to predict the information supply and enhance customer satisfaction refreshes the chain landscape. At the same time, technology continues to evolve, and the realization of chain development provides perks, efficiency, and trade. Thanks to its extraordinary potential, the supply chain's future is intelligent, automated, and focused on data.

[ross-frank]

Unlocking Growth with Business Intelligence Digitalization for Future Success

In today's fast-paced business landscape, companies are increasingly relying on digital solutions to enhance efficiency and stay competitive. With advancements in technology, digitalization has become essential to the growth and success of businesses across various industries. CBS Consulting, a leading name in enterprise technology solutions, is at the forefront of this transformation, specializing in Business Intelligence Digitalization, SAP ERP Transformation, Generative AI SAP, SAP Carve-Out, and M-CBS.

Business Intelligence Digitalization: Empowering Data-Driven Decisions

Business Intelligence Digitalization is revolutionizing the way companies collect, analyze, and leverage data. By integrating advanced analytics tools into business processes, organizations can transform raw data into actionable insights that drive strategic decisions. CBS Consulting helps businesses embrace BI digitalization by providing customized solutions that streamline data integration, improve reporting, and enhance forecasting capabilities. With a strong focus on data visualization and predictive analytics, CBS ensures businesses can make informed decisions faster and with greater precision.

SAP ERP Transformation: The Key to Operational Efficiency

SAP ERP Transformation is a critical component for businesses aiming to optimize their enterprise resource planning (ERP) systems. SAP's robust capabilities allow organizations to seamlessly manage their operations, from finance and HR to supply chain and production. CBS Consulting specializes in SAP ERP Transformation, guiding businesses through the entire process of implementing and optimizing SAP solutions. Their team of experts ensures smooth system migrations, process automation, and system integration, enabling organizations to improve operational efficiency, reduce costs, and enhance user experience.

Generative AI SAP: Innovation at the Heart of Business Operations

Generative AI SAP is changing the game for businesses that rely on SAP. By integrating AI-driven solutions into SAP systems, CBS Consulting helps organizations unlock the potential of machine learning, predictive analytics, and automation. Generative AI SAP is designed to optimize processes, improve decision-making, and enhance overall business performance. With CBS Consulting's expertise in AI integration, businesses can harness the power of artificial intelligence to streamline operations, identify new growth opportunities, and stay ahead of the competition.

SAP Carve-Out: Simplifying Complex Organizational Changes

For businesses undergoing mergers, acquisitions, or divestitures, SAP Carve-Out is an essential process. This complex procedure involves separating business units from a central SAP system while ensuring that operations remain uninterrupted. CBS Consulting offers comprehensive SAP Carve-Out services to ensure a seamless transition during organizational changes. With their deep knowledge of SAP systems, CBS helps businesses mitigate risks, minimize downtime, and optimize the management of their IT infrastructure during these critical transitions.

M-CBS: A Cutting-Edge Solution for Business Success

M-CBS (Mobile CBS) is an innovative solution offered by CBS Consulting that allows businesses to manage and monitor their operations remotely. With M-CBS, companies can enhance flexibility, improve communication, and access real-time data from anywhere in the world. This mobile platform is ideal for businesses looking to stay agile and responsive in a rapidly evolving market.

Conclusion

At CBS Consulting, we understand the unique challenges that businesses face in today's digital world. Our expertise in Business Intelligence Digitalization, SAP ERP Transformation, Generative AI SAP, SAP Carve-Out, and M-CBS ensures that your business is equipped with the tools it needs to succeed in an ever-evolving market. Embrace the future of business with CBS Consulting and unlock your organization's full potential through cutting-edge digital solutions.

[jnitupdates]

Mastering Power BI A Comprehensive Online Course for Data professionals 

In the period of big data, the capability to visualize and interpret data effectively has come a  vital skill for businesses and professionals likewise. Power BI, a robust business analytics tool from Microsoft, empowers  stoners to transform raw data into practicable perceptivity. This composition explores the benefits of learning Power BI through an online course, outlining the essential chops covered, and pressing how this training can elevate your data analysis capabilities. 

 Why Choose Power BI? 

 Power BI is  celebrated for its capability to seamlessly integrate with  various data sources, offering intuitive and interactive visualizations. Its  user-friendly interface and important features make it a favorite among data professionals.Thera are some  pivotal reasons to choose Power BI.

 Interactive Dashboards Power BI allows stoners to produce visually fascinating and interactive dashboards that give a comprehensive view of business criteria. 

 Data Connectivity With the capability to connect to a wide range of data sources, including databases, pall services, and Excel spreadsheets, Power BI ensures data integration is royal.

 Advanced Analytics Power BI supports advanced analytics with features like DAX( Data Analysis Expressions) for custom  calculations and predictive modeling. 

 Collaboration and  sharing Power BI enables easy sharing of reports and dashboards, fostering collaboration across armies and departments. 

 Benefits of an Online Power BI Course :

Flexible  knowledge Environment

 Online courses offer the  strictness to learn at your own pace, making it ideal for professionals balancing work commitments. 

Access to Expert Instruction

 Learn from  sedulity experts who give perceptivity and practical knowledge, icing you gain a comprehensive understanding of Power BI. 

Practical operation

 Hands- on exercises and real- world systems help you apply what you learn, solidifying your chops and enhancing your confidence in using Power BI. 

Cost-Effective  knowledge

 Online courses generally offer a cost-effective volition to traditional classroom training, with savings on trip and accommodation charges.

Core topics Covered in the Course:

 A well- rounded Power BI online course generally includes the following  pivotal areas.

Prolusion to Power BI 

Understanding the Power BI ecosystem.

Setting up Power BI Desktop and navigating the interface. 

Connecting to different data sources. 

Data Preparation and Transformation .

Using Power Query for data drawing and  transformation. 

Creating connections between data tables. 

Understanding and applying DAX for data analysis. 

Data Visualization and Reporting .

Designing compelling visualizations and interactive reports. 

Customizing dashboards and using themes. 

Administering drill- through and drill- down functionalities. 

Advanced Features and Stylish Practices.

Exercising AI illustrations and integrating R and Python scripts. 

Performance optimization ways for large datasets.

swish practices for report design and data fabricator. 

Collaboration and  sharing :

Publishing reports to Power BI Service.

sharing and uniting with  team members.

Setting up data refresh schedules and cautions. 

 Career Advancement with Power BI Chops.

Acquiring Power BI chops can significantly enhance your career prospects in  various places, including .

Data Critic transfigure data into perceptivity to support business decision- timber.

Business Intelligence  innovator Develop and maintain BI results that drive strategic enterprise.

Data Scientist influence Power BI for data visualization and communication of complex findings.

IT Professional Enhance data operation and reporting capabilities within associations.

  Conclusion: 

 Mastering Power BI through an online course offers a precious occasion to develop in- demand data analytics chops. With the capability to produce poignant visualizations, perform advanced data analysis, and unite effectively, Power BI proficiency positions you as a vital asset in moment’s data- centric world. Start your trip with a comprehensive Power BI online course and unleash the full eventuality of your data analysis capabilities.

[dunmertitty]

i open the ‘bi men’ tag. first post is a porn/spambot. second post is a white supremacist toting the confederate flag and a shirt that says “save the white race”. third post is fine. fourth post is clearly AI generated muscley dudes.

i try to report all the shit accounts. tumblrs reporting system doesn’t work. block the accounts instead. rinse. repeat.