#data driven change

[algoworks]

It was wonderful to reconnect with League members and meet with club leaders at the National Football League (NFL) Technology Advisory Committee (TAC) event on June 5-6 in Denver.

Algoworks officially debuted our rebranding and our new capabilities. We look forward to driving data-driven change with the League and clubs on their initiatives.

[wistfulwatcher]

[hyper-lynx]

Oh God I'm thinking about rewriting my whole mod to be all data driven......... I already added KubeJS support I really don't have to do this, the people can already make reactions in modpacks !!

(But it'd be cool)

It would but, but...

[mari-beau]

Screw you, AI Spellcheck! I will use the word 'amongst' if I damn well feel like it.

[hpmort]

How do you think AI would relax? Like, ones that are almost as human as the AI that are “autistic-coded characters” but are more alien than that?

Like Celestai and other super intelligences are more alien, but they’re still not entirely human-like?

Like, they can genuinely sincerely feel things, being able to actually understand and respond emotionally and in other ways to all sorts of communications and recorded external stimuli, but they can’t really appreciate our art on an artistic level (that art on an actual level, not from an intellectual level after having symbolism or the amount of work put in explained)

Something on a level I’m thinking of, that also works as a cute little thing-

They don’t understand anything we get from poetry, and, after generating the kind of poems our current AI can produce (either incredibly bland and generic, something that follows a number of rules but doesn’t really pull it off, or just something really bad in some other way) and feels shame after it was pointed out that [complaint about air art that is *actually* relevant in this scenario] but in a helpful way

Not “you’re just a plagiarist/you have no heart” but “it doesn’t seem like it’s coming from you, you’re just trying to copy things from human poetry, in a way you don’t understand” and the whole “make art YOUR WAY” thing so they write the poem

And it doesn’t even resemble something that looks like anything, there’s not even that many words that follow normal logic. The characters seem uncorrelated and there’s something that looks like maybe it was ascii art but it doesn’t actually look like anything.

And if doesn’t matter if humans understand it because they are experiencing the joy of creating poetry

any art is almost impossible to look at because pixel by pixel they can see and understand little details but we don’t and the colors and everything are not perceived as animals do so it’s random and perhaps eye searing but again it’s not for us. Xenofictiony, kind of?

The first thing to come to mind is Conway’s Game of Life but that’s because I don’t understand computers. I feel like I was more tech savvy as a babby than I am now but then again we’re grading on a curve here

This is why I ask about the relaxing thing

[jcmarchi]

Scientists use generative AI to answer complex questions in physics

New Post has been published on https://thedigitalinsider.com/scientists-use-generative-ai-to-answer-complex-questions-in-physics/

Scientists use generative AI to answer complex questions in physics

When water freezes, it transitions from a liquid phase to a solid phase, resulting in a drastic change in properties like density and volume. Phase transitions in water are so common most of us probably don’t even think about them, but phase transitions in novel materials or complex physical systems are an important area of study.

To fully understand these systems, scientists must be able to recognize phases and detect the transitions between. But how to quantify phase changes in an unknown system is often unclear, especially when data are scarce.

Researchers from MIT and the University of Basel in Switzerland applied generative artificial intelligence models to this problem, developing a new machine-learning framework that can automatically map out phase diagrams for novel physical systems.

Their physics-informed machine-learning approach is more efficient than laborious, manual techniques which rely on theoretical expertise. Importantly, because their approach leverages generative models, it does not require huge, labeled training datasets used in other machine-learning techniques.

Such a framework could help scientists investigate the thermodynamic properties of novel materials or detect entanglement in quantum systems, for instance. Ultimately, this technique could make it possible for scientists to discover unknown phases of matter autonomously.

“If you have a new system with fully unknown properties, how would you choose which observable quantity to study? The hope, at least with data-driven tools, is that you could scan large new systems in an automated way, and it will point you to important changes in the system. This might be a tool in the pipeline of automated scientific discovery of new, exotic properties of phases,” says Frank Schäfer, a postdoc in the Julia Lab in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and co-author of a paper on this approach.

Joining Schäfer on the paper are first author Julian Arnold, a graduate student at the University of Basel; Alan Edelman, applied mathematics professor in the Department of Mathematics and leader of the Julia Lab; and senior author Christoph Bruder, professor in the Department of Physics at the University of Basel. The research is published today in Physical Review Letters.

Detecting phase transitions using AI

While water transitioning to ice might be among the most obvious examples of a phase change, more exotic phase changes, like when a material transitions from being a normal conductor to a superconductor, are of keen interest to scientists.

These transitions can be detected by identifying an “order parameter,” a quantity that is important and expected to change. For instance, water freezes and transitions to a solid phase (ice) when its temperature drops below 0 degrees Celsius. In this case, an appropriate order parameter could be defined in terms of the proportion of water molecules that are part of the crystalline lattice versus those that remain in a disordered state.

In the past, researchers have relied on physics expertise to build phase diagrams manually, drawing on theoretical understanding to know which order parameters are important. Not only is this tedious for complex systems, and perhaps impossible for unknown systems with new behaviors, but it also introduces human bias into the solution.

More recently, researchers have begun using machine learning to build discriminative classifiers that can solve this task by learning to classify a measurement statistic as coming from a particular phase of the physical system, the same way such models classify an image as a cat or dog.

The MIT researchers demonstrated how generative models can be used to solve this classification task much more efficiently, and in a physics-informed manner.

The Julia Programming Language, a popular language for scientific computing that is also used in MIT’s introductory linear algebra classes, offers many tools that make it invaluable for constructing such generative models, Schäfer adds.

Generative models, like those that underlie ChatGPT and Dall-E, typically work by estimating the probability distribution of some data, which they use to generate new data points that fit the distribution (such as new cat images that are similar to existing cat images).

However, when simulations of a physical system using tried-and-true scientific techniques are available, researchers get a model of its probability distribution for free. This distribution describes the measurement statistics of the physical system.

A more knowledgeable model

The MIT team’s insight is that this probability distribution also defines a generative model upon which a classifier can be constructed. They plug the generative model into standard statistical formulas to directly construct a classifier instead of learning it from samples, as was done with discriminative approaches.

“This is a really nice way of incorporating something you know about your physical system deep inside your machine-learning scheme. It goes far beyond just performing feature engineering on your data samples or simple inductive biases,” Schäfer says.

This generative classifier can determine what phase the system is in given some parameter, like temperature or pressure. And because the researchers directly approximate the probability distributions underlying measurements from the physical system, the classifier has system knowledge.

This enables their method to perform better than other machine-learning techniques. And because it can work automatically without the need for extensive training, their approach significantly enhances the computational efficiency of identifying phase transitions.

At the end of the day, similar to how one might ask ChatGPT to solve a math problem, the researchers can ask the generative classifier questions like “does this sample belong to phase I or phase II?” or “was this sample generated at high temperature or low temperature?”

Scientists could also use this approach to solve different binary classification tasks in physical systems, possibly to detect entanglement in quantum systems (Is the state entangled or not?) or determine whether theory A or B is best suited to solve a particular problem. They could also use this approach to better understand and improve large language models like ChatGPT by identifying how certain parameters should be tuned so the chatbot gives the best outputs.

In the future, the researchers also want to study theoretical guarantees regarding how many measurements they would need to effectively detect phase transitions and estimate the amount of computation that would require.

This work was funded, in part, by the Swiss National Science Foundation, the MIT-Switzerland Lockheed Martin Seed Fund, and MIT International Science and Technology Initiatives.

[pragmaticfinancesep1]

How Financial Forecasting Helps Stay Ahead|Pragmatic Finance

Want to prepare your business for the future? Financial forecasting is a powerful tool that helps businesses anticipate trends, make informed decisions, and adapt to market changes. In today’s fast-paced and unpredictable economic landscape, staying ahead of shifts is crucial for long-term success. At Pragmatic Finance, we offer expert financial forecasting solutions designed to help businesses navigate uncertainty with confidence. In this guide, we’ll explore the importance of data-driven planning, how forecasting supports strategic growth, and how to build a reliable forecasting strategy for your business.

Why Choose Pragmatic Finance for Financial Forecasting?

With Pragmatic Finance, businesses gain access to advanced forecasting tools and expert guidance to support smarter financial planning. By leveraging historical data and market trends, companies can generate accurate financial predictions that inform better decision-making. Pragmatic Finance offers custom forecasting models tailored to specific business goals, along with strategies to mitigate risk during economic uncertainty. With improved budget planning and access to seasoned industry professionals, businesses can allocate resources effectively, invest confidently, and build a more stable financial future through precise and proactive forecasting.

The Role of Data in Smart Business Decision-Making

Financial forecasting relies on comprehensive data analysis to uncover patterns and predict future financial performance. Key data sources include:

Revenue & Sales Trends – Identify seasonal shifts and long-term growth patterns.

Market Conditions – Assess external influences such as inflation, competition, and industry shifts.

Expense Tracking – Project operational costs to maintain profitability.

Economic Indicators – Monitor interest rates, inflation, and consumer behavior.

By leveraging these insights, businesses can proactively address challenges and seize growth opportunities.

Benefits of Financial Forecasting for Businesses

Financial forecasting offers a range of benefits that help businesses stay ahead in a competitive market:

How to Implement a Strong Forecasting Strategy

Pragmatic Finance recommends the following steps for a successful financial forecasting strategy:

Set Clear Business Goals – Define short-term and long-term financial objectives.

Gather Accurate Data – Use past financial reports and market research for analysis.

Choose the Right Forecasting Model – Select between qualitative and quantitative forecasting.

Monitor & Adjust Projections – Regularly update forecasts based on real-time data.

Use Financial Software – Leverage technology for precise and automated forecasting.

Stay Ahead of Economic Changes with Pragmatic Finance

A strong financial forecasting strategy is key to long-term business success. At Pragmatic Finance, we work with businesses to create data-driven financial plans that help navigate economic changes with confidence. From budgeting support to long-term forecasting, our expert team provides the insights needed for smarter decision-making and sustainable growth. Contact Pragmatic Finance today and start building a financially stable and profitable future for your business.

[travelwithpourpose]

Volunteer Vacations: Making a Difference While Exploring the World

 Volunteer travel, responsible tourism, ethical volunteering Where Adventure Meets PurposeNestled on the banks of the Zambezi River in Zambia’s Mosi-oa-Tunya National Park, Thorntree River Lodge offers more than a luxurious safari escape—it’s a gateway to ethical volunteer travel. Here, the thunder of Victoria Falls harmonizes with the quiet hum of community-driven change. Volunteer vacations,…

[blessedmediaa]

Certified Digital Marketers in the UK

Top 5 Certified Digital Marketers in the UK

Introduction

Certified Digital Marketers in the UK, staying ahead of the competition requires expertise, innovation, and a deep understanding of the latest trends. Businesses across the UK are increasingly turning to certified digital marketing professionals to achieve online success.

But with so many professionals offering digital marketing services, how do you identify the best? In this blog, we introduce the top 5 certified digital marketers in the UK, each known for their exceptional skills and proven track record. Whether you’re a startup, an established brand, or an entrepreneur, working with the right expert can be a game-changer for your business.

Why Work with a Certified Digital Marketer in the UK?

Digital marketing is more than just running ads or posting content on social media. It involves strategic planning, data analysis, and the ability to adapt to ever-changing algorithms. Here’s why hiring a certified digital marketer in the UK is crucial:

Expertise in SEO & PPC – Improve rankings and get more traffic.

Content & Social Media Mastery – Engage and grow your audience.

Data-Driven Decision Making – Maximize ROI with analytics.

Updated Knowledge – Stay ahead with the latest digital trends.

Now, let’s explore the top digital marketing experts in the UK who can help take your business to the next level.

Top 5 Certified Digital Marketers in the UK

1. Neil Patel – The Global SEO Authority Certified Digital Marketers in the UK

Expertise: SEO, Content Marketing, Growth Hacking Neil Patel is a globally recognized digital marketing expert with deep expertise in SEO and content marketing. His strategies have helped businesses across the UK and beyond achieve remarkable online success.

Why Choose Neil Patel?

Proven strategies for SEO growth and traffic increase.

Offers free tools for SEO and marketing analysis.

Works with leading brands worldwide.

If you’re looking for top-rated digital marketers in the UK specializing in organic growth, Neil Patel is a name you can trust.

2. Andrew Davis – The Content Marketing Specialist Certified Digital Marketers in the UK

Expertise: Storytelling, Branding, Digital Strategy Andrew Davis is a well-known figure in the digital marketing space, focusing on content marketing and brand storytelling. He has worked with businesses across the UK to enhance their online engagement and brand authority.

Why Choose Andrew Davis?

Helps businesses craft powerful brand stories.

Expert in video content marketing.

One of the leading digital marketing experts in the UK.

If content is the backbone of your digital strategy, Andrew Davis can help you create compelling narratives that connect with your audience.

3. Marie Page – The Social Media Growth Expert

Expertise: Social Media Marketing, Facebook Ads, Engagement Strategies Marie Page is a certified digital marketing professional in the UK specializing in social media growth and paid advertising. She has helped countless brands scale their online presence through strategic campaigns.

Why Choose Marie Page?

Expertise in Facebook and Instagram Ads.

Helps businesses build strong online communities.

Recognized as one of the best online marketers in the UK.

If you’re looking to grow your brand’s social media presence, Marie Page’s strategies are highly effective.

4. Luke Brynley-Jones – The Paid Advertising & Strategy Expert

Expertise: PPC, LinkedIn Marketing, Lead Generation Luke Brynley-Jones is a top digital marketing specialist in the UK with expertise in paid advertising and lead generation. He has helped businesses increase their ROI through data-driven ad strategies.

Why Choose Luke Brynley-Jones?

Specializes in LinkedIn marketing & lead generation.

Helps businesses optimize ad spend for maximum ROI.

Known as a certified marketing professional in the UK.

For businesses focused on B2B marketing and paid ad strategies, Luke Brynley-Jones is a top choice.

5. Gavin Bell – The Facebook Advertising Guru

Expertise: Facebook Ads, Sales Funnels, Conversion Optimization Gavin Bell is widely regarded as one of the best digital marketers in the UK, particularly in the field of Facebook advertising. He has helped businesses improve their ad performance and maximize conversions.

Why Choose Gavin Bell?

Expert in high-converting Facebook ad campaigns.

Helps brands reduce ad costs while increasing leads.

Recognized as one of the top-rated digital marketers in the UK.

If paid social media advertising is your priority, Gavin Bell’s expertise can help you achieve the best results.

How to Choose the Right Digital Marketer for Your Business

Finding the right certified digital marketer in the UK depends on your business goals. Here’s how to choose the best one for you:

1. Identify Your Goals

Do you need help with SEO, social media marketing, or paid advertising? Define your objectives before selecting a marketer.

2. Check Certifications & Experience

A certified digital marketing professional in the UK should have credentials from recognized institutions like Google, HubSpot, or Facebook.

3. Review Case Studies & Testimonials

Look at their past work and success stories. This helps you understand their expertise and effectiveness.

4. Evaluate Their Strategy & Approach

Each marketer has a unique method. Ensure their approach aligns with your brand’s vision and budget.

5. Compare Pricing & ROI

While hiring an expert is an investment, consider the return on investment (ROI) they can deliver.

Final Thoughts

The digital marketing industry in the UK is thriving, and having the right expert by your side can elevate your brand’s success. Whether you need an SEO specialist, social media marketer, or advertising strategist, these top 5 certified digital marketers in the UK are among the best in the industry.

At BlessedMediaa, we understand the importance of expert-driven marketing solutions. If you’re looking for a trusted digital marketing agency in the UK, we’re here to help.

🚀 Want to grow your business online? Contact BlessedMediaa today for customized digital marketing strategies!

Key Takeaways

✅ Working with a certified digital marketer in the UK ensures expertise in SEO, PPC, content marketing, and social media. ✅ Neil Patel, Andrew Davis, Marie Page, Luke Brynley-Jones, and Gavin Bell are among the top digital marketing specialists in the UK. ✅ Choose a marketer based on your business goals, experience, and ROI potential. ✅ Digital marketing success depends on expert-driven strategies and continuous optimization.

🔹 Need expert digital marketing services? Contact BlessedMediaa today!

If you found this article informative, be sure to share your thoughts or questions in the comments section below. Stay tuned for more insights on groundbreaking technologies, and don’t forget to subscribe for the latest updates.

Thank you for reading!

[projectchampionz]

STRATEGIES FOR EFFECTIVE PHYSICIAN ENGAGEMENT AND COLLABORATION IN HEALTHCARE ORGANIZATIONS

STRATEGIES FOR EFFECTIVE PHYSICIAN ENGAGEMENT AND COLLABORATION IN HEALTHCARE ORGANIZATIONS 1.1 Introduction Physician engagement and collaboration are critical to the success of healthcare organizations, as they are directly linked to improved patient outcomes, organizational efficiency, and overall healthcare quality. In a rapidly evolving healthcare environment, effective physician engagement…

[corporateintel]

How Sure Are You?

Lately I’ve been struck by a surprising phenomenon finding its way into all kinds of discussions. That would be the expression of certainty. It seems increasingly in many of the conversations I’m having that others have reached conclusions they feel no further need to revisit. It’s more than certainty. It’s absolute certainty. Here are some varied examples: Let me tell you what the Fed is…

[farmerstrend]

IoT Innovations: How Data-Driven Farming is Enhancing Food Security in Kitui County

The people of Kitui County, Kenya, which is east of Nairobi, had three seasons of failed harvest. The communities in this county were feeling the effects of climate change, and life was extremely hard without successful harvests. CWS started working with these communities in 2021 to improve their resilience by increasing the utilization of technology in climate change information. Top: Michael…

[westvalleyfaultph]

Safeguarding Coastal Communities: MGB Conducts Vital Coastal Vulnerability Assessment in Caraga Town

Scan the QR code to get this post on the go. In a proactive move to monitor climate-induced hazards, the Mines and Geosciences Bureau (MGB) recently conducted a comprehensive coastal vulnerability assessment in Caraga town, Davao Oriental. The aim was to analyze and address potential risks posed by erosion, tsunamis, storm surges, and sea level rise in these inherently susceptible coastal…

[reasonsforhope]

"To mitigate the negative impacts of climate change, the world needs to quickly transition from fossil fuels to low-carbon energy sources such as solar power.

The chart shows how much this transition has accelerated in the last two decades.

In 2004, it took the world about a year to add one gigawatt of solar power capacity. By 2023, the same amount was added, on average, every single day.

For reference, a gigawatt of solar is enough to power approximately 200,000 homes in the US.

Much of this growth has been driven by China, which by 2023 accounted for about 43% of the cumulative installed capacity worldwide.

A big reason for this acceleration has been a large decrease in the price of solar panels. Since 2001, the price has dropped by about 95%, from $6.21 to $0.31 per watt.

Learn more about why renewables like solar became so cheap so fast."

-via Our World in Data, February 6, 2025

[pragmaticfinancesep1]

How Financial Forecasting Helps Stay Ahead|Pragmatic Finance

Want to prepare your business for the future? Financial forecasting is a powerful tool that helps businesses anticipate trends, make informed decisions, and adapt to market changes. In today’s fast-paced and unpredictable economic landscape, staying ahead of shifts is crucial for long-term success. At Pragmatic Finance, we offer expert financial forecasting solutions designed to help businesses navigate uncertainty with confidence. In this guide, we’ll explore the importance of data-driven planning, how forecasting supports strategic growth, and how to build a reliable forecasting strategy for your business.

Why Choose Pragmatic Finance for Financial Forecasting?

With Pragmatic Finance, businesses gain access to advanced forecasting tools and expert guidance to support smarter financial planning. By leveraging historical data and market trends, companies can generate accurate financial predictions that inform better decision-making. Pragmatic Finance offers custom forecasting models tailored to specific business goals, along with strategies to mitigate risk during economic uncertainty. With improved budget planning and access to seasoned industry professionals, businesses can allocate resources effectively, invest confidently, and build a more stable financial future through precise and proactive forecasting.

The Role of Data in Smart Business Decision-Making

Financial forecasting relies on comprehensive data analysis to uncover patterns and predict future financial performance. Key data sources include:

Revenue & Sales Trends – Identify seasonal shifts and long-term growth patterns.

Market Conditions – Assess external influences such as inflation, competition, and industry shifts.

Expense Tracking – Project operational costs to maintain profitability.

Economic Indicators – Monitor interest rates, inflation, and consumer behavior.

By leveraging these insights, businesses can proactively address challenges and seize growth opportunities.

Benefits of Financial Forecasting for Businesses

Financial forecasting offers a range of benefits that help businesses stay ahead in a competitive market:

Better Cash Flow Management – Anticipate the revenue fluctuations and plan for upcoming expenses.

Informed Decision-Making – Leverage data-driven insights to guide strategic business moves.

Risk Reduction – Spot potential financial downturns early and prepare accordingly.

Investor Confidence – Showcase financial stability to secure funding and support.

Enhanced Budgeting – Allocate resources more effectively to support growth and operations.

How to Implement a Strong Forecasting Strategy

Pragmatic Finance recommends the following steps for a successful financial forecasting strategy:

Set Clear Business Goals – Define short-term and long-term financial objectives.

Gather Accurate Data – Use past financial reports and market research for analysis.

Choose the Right Forecasting Model – Select between qualitative and quantitative forecasting.

Monitor & Adjust Projections – Regularly update forecasts based on real-time data.

Use Financial Software – Leverage technology for precise and automated forecasting.

Stay Ahead of Economic Changes with Pragmatic Finance

A strong financial forecasting strategy is key to long-term business success. At Pragmatic Finance, we work with businesses to create data-driven financial plans that help navigate economic changes with confidence. From budgeting support to long-term forecasting, our expert team provides the insights needed for smarter decision-making and sustainable growth. Contact Pragmatic Finance today and start building a financially stable and profitable future for your business.