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Our top ten reports this quarter look at GLP-1s, open source technology, and more. At No. 1, McKinsey’s Alexander Edlich, Christopher Croke, Fredrik Dahlqvist, and Warren Teichner look at conditions for global private markets in private equity, real estate, private debt, and infrastructure.
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by "McKinsey Top Ten" <publishing@email.mckinsey.com> - 08:32 - 22 Jun 2025 -
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by "Richard - Fairway Wealth Partners" <info@fairwaywealthpartners.com> - 05:04 - 22 Jun 2025 -
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by "Russell Brunson" <newsletter@marketingsecrets.com> - 05:00 - 21 Jun 2025 -
Easily organize and enjoy the fun of efficient storage!
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by "Zayane Lohou" <perrytessier553@gmail.com> - 04:15 - 21 Jun 2025 -
The week in charts
The Week in Charts
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:35 - 21 Jun 2025 -
Is your resource allocation strategy stuck in neutral?
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Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of McKinsey Classics. We hope you find our perspectives useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
June 2025
To celebrate the 60th birthday of McKinsey Quarterly, the McKinsey Classics newsletter is dedicating a full year to enduring Quarterly articles that were ahead of their time. Also, check out our latest special-themed birthday issue of the Quarterly, on the future of growth, available now.
Companies face a rapidly changing environment spurred by disruptive technologies, volatile markets, and shifting demographics. To keep pace, they need an equally dynamic resource allocation strategy. But when it comes to investing in capital, talent, and other scarce resources, some business leaders will stick to what’s been working and leave well enough alone. That’s a risky move. As the authors of this McKinsey Quarterly classic observe, if a company’s resource allocation strategy is stuck in the past, soon the company may be as well.
To overcome this inertia, business leaders can take four critical steps. First, develop a target portfolio to inform your allocation agenda. Second, seed and nurture promising investments while also pruning resources from less promising ventures and harvesting businesses that no longer fit the portfolio. Third, adopt simple rules to help remove politics and bias from decision-making. And fourth, implement systematic processes to strengthen allocation activities, such as granular planning and regular investment reviews.
For more on how companies can shift their resource allocation strategies into high gear, read our 2012 Quarterly classic “How to put your money where your strategy is.”—Edited by Drew Holzfeind, editor, Chicago
Is there a classic business topic you’d like us to feature? Send us an email—we’d love to hear from you.
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by "McKinsey Classics" <publishing@email.mckinsey.com> - 12:27 - 21 Jun 2025 -
EP168: AI Vs Machine Learning Vs Deep Learning Vs Generative AI
EP168: AI Vs Machine Learning Vs Deep Learning Vs Generative AI
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This week’s system design refresher:
AI Vs Machine Learning Vs Deep Learning Vs Generative AI
How SQL Query Executes In A Database?
Top 20 AI Agent Concepts You Should Know
How RabbitMQ Works
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AI Vs Machine Learning Vs Deep Learning Vs Generative AI
Artificial Intelligence (AI)
It is the overarching field focused on creating machines or systems that can perform tasks typically requiring human intelligence, such as reasoning, learning, problem-solving, and language understanding. AI consists of various subfields, including ML, NLP, Robotics, and Computer VisionMachine Learning (ML)
It is a subset of AI that focuses on developing algorithms that enable computers to learn from and make decisions based on data.Instead of being explicitly programmed for every task, ML systems improve their performance as they are exposed to more data. Common applications include spam detection, recommendation systems, and predictive analytics.
Deep Learning
It is a specialized subset of ML that utilizes artificial neural networks with multiple layers to model complex patterns in data.Neural networks are computational models inspired by the human brain’s network of neurons. Deep neural networks can automatically discover representations needed for future detection. Use cases include image and speech recognition, NLP, and autonomous vehicles.
Generative AI
It refers to AI systems capable of generating new content, such as text, images, music, or code, that resembles the data they were trained on. They rely on the Transformer Architecture.Notable generative AI models include GPT for text generation and DALL-E for image creation.
Over to you: What else will you add to understand these concepts better?
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How SQL Query Executes In A Database?
STEP 1
The query string first reaches the Transport Subsystem of the database. This subsystem manages the connection with the client. Also, it performs authentication and authorization checks, and if everything looks fine, it lets the query go to the next step.
STEP 2
The query now reaches the Query Processor subsystem, which has two parts: Query Parser and Query Optimizer.
The Query Parser breaks down the query into sub-parts (such as SELECT, FROM, WHERE). It checks for any syntax errors and creates a parse tree.
Then, the Query Optimizer goes through the parse tree, checks for semantic errors (for example, if the “users” table exists or not), and finds out the most efficient way to execute the query.
The output of this step is the execution plan.
STEP 3
The execution plan goes to the Execution Engine. This plan is made up of all the steps needed to execute the query.
The Execution Engine takes this plan and coordinates the execution of each step by calling the Storage Engine. It also collects the results from each step and returns a combined or unified response to the upper layer.
STEP 4
The Execution Engine sends low-level read and write requests to the Storage Engine based on the execution plan.
This is handled by the various components of the Storage Engine, such as the transaction manager (for transaction management), lock manager (acquires necessary locks), buffer manager (checks if data pages are in memory), and recovery manager (for rollback or recovery).
Over to you: What else will you add to understand the execution of an SQL Query?Top 20 AI Agent Concepts You Should Know
Agent: An autonomous entity that perceives, reasons, and acts in an environment to achieve goals.
Environment: The surrounding context or sandbox in which the agent operates and interacts.
Perception: The process of interpreting sensory or environmental data to build situational awareness.
State: The agent’s current internal condition or representation of the world.
Memory: Storage of recent or historical information for continuity and learning.
Large Language Models: Foundation models powering language understanding and generation.
Reflex Agent: A simple type of agent that makes decisions based on predefined “condition-action” rules.
Knowledge Base: Structured or unstructured data repository used by agents to inform decisions.
CoT (Chain of Thought): A reasoning method where agents articulate intermediate steps for complex tasks.
ReACT: A framework that combines step-by-step reasoning with direct environmental actions.
Tools: APIs or external systems that agents use to augment their capabilities.
Action: Any task or behavior executed by the agent as a result of its reasoning.
Planning: Devising a sequence of actions to reach a specific goal.
Orchestration: Coordinating multiple steps, tools, or agents to fulfill a task pipeline.
Handoffs: The transfer of responsibilities or tasks between different agents.
Multi-Agent System: A framework where multiple agents operate and collaborate in the same environment.
Swarm: Emergent intelligent behavior from many agents following local rules without central control.
Agent Debate: A mechanism where agents argue opposing views to refine or improve outcomes.
Evaluation: Measuring the effectiveness or success of an agent’s actions and outcomes.
Learning Loop: The cycle where agents improve performance by continuously learning from feedback or outcomes.
Over to you: Which other AI agent concept will you add to the list?
How RabbitMQ Works?
RabbitMQ is a message broker that enables applications to communicate by sending and receiving messages through queues. It helps decouple services, improve scalability, and handle asynchronous processing efficiently.
Here’s how it works:
A producer (usually an application or service) sends messages to the RabbitMQ broker, which manages message routing and delivery.
Within the broker, messages are sent to an exchange, which determines how they should be routed based on the type of exchange: Direct, Topic, or Fanout.
Bindings connect exchanges to queues using a binding key, which defines the rules for routing messages (for example, exact match or pattern-based)
Direct exchanges route messages to queues that match the routing key exactly, as shown with Queue 1.
Topic exchanges use patterns to route messages to matching queues.
Fanout exchanges broadcast messages to all bound queues, regardless of routing keys.
Finally, messages are pulled from the queues by a consumer, which processes them and can pass the results to other systems.
Over to you: What else will you add to the RabbitMQ process flow?
Hiring Now
We collaborate with Jobright.ai (an AI job search copilot trusted by 500K+ tech professionals) to curate this job list.
This Week’s High-Impact Roles at Fast-Growing AI Startups
Senior / Staff Software Engineer, Data Platform at Waabi (California, USA)
Yearly: 155000 - 240000
Waabi is an artificial intelligence company that develops autonomous driving technology for the transportation sector.
Senior Full Stack Engineer at Proton.ai (US)
Yearly: 60000 - 90000
Proton.ai is an AI-powered sales platform for distributors to gain millions of revenue and reclaim market share.
Software Engineer - Frontend UI at Luma AI (Palo Alto, CA)
Yearly: 220K - 280K
Luma AI is a generative AI startup that enables users to transform text descriptions into corresponding 3D models.
High Salary SWE Roles this week
Principal Engine Engineer, Avatar Systems at Roblox (San Mateo, CA)
Yearly: 289460 - 338270
Director of Engineering - AWS Applied AI Solutions at Amazon Web Services (Seattle, WA)
Yearly: 264100 - 350000
Manager, Software Engineering - Interactive Foundations at Figma (New York, NY)
Yearly: 250000 - 350000
Today’s latest ML positions
Applied Machine Learning Engineer - Causal Inference Recommendation at DoorDash (Sunnyvale, CA)
Yearly: 137100 - 201600
Lead Machine Learning Engineer at Adobe (New York, NY)
Yearly: 162000 - 301200
Lead Machine Learning Engineer at ESPN (New York, NY)
Yearly: 175800 - 235700
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by "ByteByteGo" <bytebytego@substack.com> - 11:34 - 21 Jun 2025 -
Reliable Wood Pellet Production – OPM’s No-Bearing Roller Technology
Dear Info,
Good Morning.
How are you today ?
We’ve noticed your expertise in wood pellet production and would like to introduce OPM’s innovative ring-die pellet mills – engineered to maximize uptime and minimize operating costs.
Our patented “no-bearing inside rollers” design eliminates frequent maintenance issues, while energy-efficient motors ensure stable output (40-45 kWh/ton) across capacities from 3T/H to 10T/H models. Many clients upgrading older mills report 30%+ productivity gains through our retrofitting services.
Beyond equipment, we provide:
✔️ Flexible financing options for turnkey projects
✔️ Global spare parts support (compatible with major brands)
✔️ Customized solutions for EFB, bagasse, or agricultural residuesLet’s schedule a call to discuss optimizing your production line.
Besides, we can offer spare parts (ring die/flat die/rollers) for all other brands in the world of good price as well.
Waiting for your comment and early reply.
Thanks a lot.
Best Wishes,
Watson
by "Komail Tania" <komailtania262@gmail.com> - 12:32 - 21 Jun 2025 -
mine equipments and steel parts
Hi Info，
This is Leo from Wuxi SunbirdTechnology Co., Ltd. Our company was established in 2010.It is a national high-tech enterprise engaged in the research and development, production and sales of mine macheries, bulk handling equipments and it's steel structure.The main products are conveyor, stacker, mobile stacker, reclaimer, metal structure etc.
They are now widely used in coal mine, iron ore yard, port, raw material factory, etc.
Factory:14,000 square meters, 120 employee
If you are interested in our products, please feel free to contact us.
-Own design and manufacturing capacity
- Specialised in bulk handling equipment
Best Regards
Leo Zhou
Wuxi Sunbird Technology. Co., Ltd
No.18, Yanchang Road ,Yanqiao, Wuxi, P.R. China
Whats/Mobile:(+86) 17751710788
http://www.isunbirdforeign.com
by "sales05" <sales05@isunbird.com> - 06:11 - 20 Jun 2025 -
Leading China Firefox Fireworks supplier in Liuyang!
Dear Info,
Greeting from China Firefox Fireworks!
I’m Erike Zhang, sales manager from China Firefox Fireworks. We are TOP Fireworks Supplier from China with 30 years' experience, collaborate with 50+ factories. Our quality control is strictly following EN15947 / AFSL standard. Our products are high quality, certified, safe, and tailored for all enthusiasts.
EU Market Pro: 20+ years supply for UK supermarket (ASDA, ALDI, MORRISON)
Wide Range: 500+ products (selection box, batteries, roman candles, crackers, shot tubes, rockets, sparklers, fountains, handheld, crackers, smoke, etc.)
Strictly QC System: Daily QC factory travel and Comprehensive Quality Inspection Steps.
Stable Supply: Close cooperation with 50+ factories ensures timely and stable delivery.
24/7 Support: WhatsApp / WeChat + Full after-sales serviceA professional team simplifies your purchase, ensuring that every product delivered to you complies with CE / AFSL standard and is well-received in the market!
Looking forward to your reply for samples / catalog or ask questions!
Best Regards,
Erike
Sales Manager, Firefox Fireworks
Tel/Whatsapp/Wechat: (+86) 133 4227 0719
Youtube： https://www.youtube.com/@firefoxfireworks
by "manager" <manager@firefox-fireworks.com> - 05:14 - 20 Jun 2025 -
Last Chance for VIP Golf Packages This Season - Don’t Miss Out
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by "Samantha - VIP Golf Concierge" <info@vipgolfbookings.co.uk> - 03:12 - 20 Jun 2025 -
Unlocking the future of semiconductor testing: SEMISHARE’s solutions
Dear Info,
Good day to you. I am reaching out to introduce SEMISHARE, a leading semiconductor testing company specializing in advanced wafer probe stations and testing solutions. Since our establishment, we have supported numerous semiconductor enterprises, including chip design and wafer manufacturing, with our comprehensive product range.
Our offerings include fully-automatic, semi-automatic, and manual probers, designed for various testing applications such as including I-V/C-V，high power，EMI, WAT/CP，RF/mmW and MEMS testing etc. With over a decade of experience, we have successfully assisted more than 1,000 global firms in improving chip yield and reducing costs.
We pride ourselves on our 24/7 service support and customized plans, ensuring timely delivery and data accuracy. I would welcome the opportunity to discuss how SEMISHARE can help optimize your testing processes.
Thank you for your consideration, and I look forward to your response.
Best regards,
Tobus Liebscher
by "Tobus Liebscher" <liebschertobus@gmail.com> - 03:00 - 20 Jun 2025 -
Recommendations for smart driving recorders that improve driving safety
Dear Info,
Nice to meet you !
I am Jose Wang from Hangzhou Spring Electronics,in exporting coaxial cable,speaker cable and alarm cable for more than 5 years.
Here we want to introduce you one of our model that very suitable for your business:
RG6 COAXIAL CABLE
1.0mm CCS/4.57mmF.PE/64X0.12mm ALMG/6.8mmPVC
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Spring Electronic is a professional cable manufacture in China , also we could do OEM as you requested.
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Hangzhou Spring Electronics Co.,LIMITED
Mobile Phone/Wechat/WhatApp:(0086)15158198639
Add:Room 730, Hall 4, Glory Center,Panhu Road,Linan City,Zhejiang,China.
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Email:sales@hzspring.com Tel/Fax:0086-571-61075060
by "Bonadonna Sansoucie" <sansouciebonadonna@gmail.com> - 02:40 - 20 Jun 2025 -
What media consumers want
On McKinsey Perspectives
Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Only McKinsey Perspectives. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
•
Quality over quantity. Among technological innovations in production and distribution, the rise of user-generated content, and the proliferation of premium content, today’s audiences have a dizzying array of media to consume. For media companies and other industry stakeholders, the result is a high-stakes competition for consumer attention. Media brands, creators, and marketers have long gauged consumer attention by the quantity of time spent with their content or the size of their audience. But this overlooks a more important issue: the quality of time spent, explain McKinsey Senior Partners Kabir Ahuja and Marc Brodherson and their coauthors.
•
Three kinds of consumers. Consumption and monetization vary widely across 20 major mediums in the attention economy, and differing levels of attention are a key reason for that variability. Backed by a survey of 7,000 global consumers, McKinsey has developed an “attention equation” that reveals the full drivers of attention value. Attention doesn’t simply equal the amount of time spent; it equals the amount of valuable time spent, which is based on consumers’ focus and intent. Learn about the three most valuable types of media consumers, including the “content lovers” who are today’s superfans, and visit our McKinsey at Cannes Lions 2025 page for more about our work there.
—Edited by Belinda Yu, editor, Atlanta
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by "Only McKinsey Perspectives" <publishing@email.mckinsey.com> - 01:36 - 20 Jun 2025
