AI isn’t just some passing trend or buzzword anymore. It’s already transforming how companies function, make decisions, and connect with their customers. Every industry is being reshaped, and the pace is only getting faster. Whether you’re running a startup, a family business, or a multinational brand, the impact of AI is impossible to ignore.
1. 84% of global executives believe AI will give them a competitive advantage
Why this matters
When almost nine out of ten top decision-makers agree on something, it’s time to pay attention. Executives see AI not just as helpful tech but as a strategic tool. It’s changing how decisions are made, how fast companies can move, and how well they can respond to market needs.
The competitive edge comes from smarter forecasting, faster execution, and personalization at scale. Think of it as going from a flashlight to a laser beam.
What you can do about it
If you’re in leadership or management, make AI a boardroom topic. Don’t wait for IT to bring it up. Begin by identifying key pain points in your business—places where speed, scale, or precision matter. That could be lead qualification, inventory planning, customer support, or even hiring.
Start with small, high-impact experiments. Use AI to assist, not replace. For instance, an AI assistant can summarize meetings, flag missed opportunities in sales pipelines, or even help prioritize daily tasks.
It’s also critical to invest in AI fluency across teams. Your people don’t need to become data scientists, but they do need to understand what AI can and cannot do. Host short training sessions. Invite experts to share use cases. Create a shared vocabulary so everyone is on the same page.
Lastly, look at your competitors. If they’re already using AI in marketing or operations, you can’t afford to lag behind. Learn from their moves and stay agile
2. 77% of companies are either using or exploring AI in some capacity
The landscape is shifting
AI isn’t a fringe experiment anymore. Nearly 8 in 10 companies are either using AI or actively testing it. This means the AI race has officially begun. If you’re not in the game, you’re falling behind. And fast.
Even companies that are traditionally slow to adopt new tech—like insurance firms or government contractors—are now exploring AI to streamline old processes.
What to do now
Begin by mapping out your competitors and market leaders. What kind of AI tools are they using? Are they automating customer support, scanning contracts, or generating marketing content?
From there, look inside your own operations. Where are the repetitive tasks? Are your customer service agents answering the same questions every day? Is your marketing team manually analyzing campaign results? These are your AI entry points.
Also, create a culture of experimentation. Assign a small team to test low-risk AI tools. For example, try using AI for summarizing reports, generating social media captions, or creating initial drafts of sales emails.
Don’t worry about doing everything at once. Just start. Evaluate tools based on ease of use, quick wins, and integration potential. Once a use case proves itself, scale it.
3. 35% of companies are actively using AI in their business today
From plans to practice
This stat shows that over one-third of businesses have already moved beyond the exploration stage. They’re applying AI in day-to-day workflows. And that means the gap between adopters and laggards is growing.
These companies are streamlining hiring, running smarter ad campaigns, and predicting customer churn before it happens. They’re not theorizing. They’re acting.
Your next move
If you’re not in that 35% yet, don’t panic—but don’t wait. Choose one specific area of your business to automate. It could be invoicing, lead scoring, internal communication, or even your FAQ page.
Use tools like ChatGPT for internal documentation. Try Jasper for quick marketing copy. Use Notion AI for team collaboration. None of these require coding, and they can save hours each week.
Create a small pilot project, track the time and cost savings, and share those wins with the rest of your team. Momentum spreads quickly when results are visible.
4. 44% of organizations report cost savings from AI implementation
Real ROI
The big promise of AI—beyond efficiency—is savings. Nearly half of all companies using AI are already seeing the benefits in their bottom line. That’s not a future hope. That’s now.
AI reduces manual labor, minimizes errors, and speeds up work cycles. Whether you’re running HR or finance, this leads to leaner operations.
Action steps
Start by identifying areas where you’re losing money—slow processes, outdated tools, high turnover, or excessive manual work.
Then look at where AI can intervene. Can you use AI to automate data entry? To screen resumes? To predict customer churn and reduce refunds?
Track every dollar saved, even if it’s time-based. Savings often show up in hours reclaimed, not just invoices avoided. Use that data to build a business case for deeper AI investment.
Also, reinvest those savings. Use them to fund new tech, hire AI talent, or scale what’s working. Smart companies use AI to save—and then use those savings to win.
5. 64% of businesses expect AI to increase productivity
More output, less burnout
AI doesn’t just save money. It helps teams do more in less time. That’s why nearly two-thirds of companies are betting on productivity gains. And for good reason.
AI can sort, prioritize, and handle repetitive tasks that drain hours from your day. This frees up teams to focus on creative, strategic, or relationship-driven work.
How to boost your team’s output
Start by asking your team what tasks they hate doing. Chances are, those are great candidates for AI support.
Train your employees to use AI tools for note-taking, meeting summaries, content creation, and basic analysis. Over time, you’ll see clearer calendars and higher output.
But don’t just throw tools at people. Help them understand the why. Create standard operating procedures that include AI. This helps everyone adopt it smoothly.
Also, measure before and after. Show how AI improves time-to-completion, accuracy, or employee satisfaction. Numbers build confidence.
6. 70% of customer interactions are expected to involve emerging technologies like AI by 2025
The new face of customer experience
By 2025, most customer conversations will be touched by AI in some way. Whether it’s a chatbot on your website, an AI assistant responding to emails, or predictive recommendations in your app—customers are already interacting with AI, often without even realizing it.
This shift means businesses must rethink how they design customer journeys. If your customer experience feels slow, confusing, or inconsistent, AI might be your biggest upgrade opportunity.
What you should be doing now
Look at the key points where customers interact with your brand—onboarding, support, checkout, or even abandoned carts. Then identify how AI can step in.
For example, add a chatbot that handles common questions instantly, freeing up your human reps for complex cases. Or use AI to suggest products based on browsing history, making your site feel personalized.
Just don’t go overboard. Customers still value human connection. Blend AI with real human touchpoints, especially for issues that need empathy or negotiation.
Train your customer service team to collaborate with AI, not compete with it. The goal is faster, smoother, and more personalized service—not robotic responses.
7. 25% of companies have fully integrated AI into their operations
Beyond experimentation
One in four companies have already embedded AI deeply into how they operate. That means it’s not just a tool on the side. It’s baked into everything from product development to logistics to hiring.
These are the companies moving fastest—and they’ll dominate their industries unless others catch up.
Moving from testing to integration
If you’ve dabbled in AI tools but haven’t gone all-in, start planning a broader strategy. Integration means connecting AI to your core processes—your CRM, ERP, or inventory systems.
This doesn’t mean building from scratch. Many tools have built-in AI features you can activate. Look at tools you already use—Salesforce, HubSpot, Monday.com—and explore their AI features.
Also, assign someone to own AI adoption. Maybe it’s a product manager or innovation lead. Give them a goal: find five AI applications that reduce cost, increase speed, or improve outcomes within 3 months.
Then roll out slowly but steadily. Integration is about mindset and systems—not magic.
8. 91% of top businesses have ongoing investments in AI
Smart money follows smart tools
Big businesses aren’t just trying AI—they’re investing in it consistently. That includes funding internal AI teams, hiring data scientists, and partnering with AI startups.
It shows they see AI as a long-term bet, not a one-time fix. That’s a powerful signal.
How you can act—even on a budget
You don’t need a huge R&D budget to follow this lead. Start by allocating a monthly budget—no matter how small—for AI tools and experimentation.
Spend it on tools like Midjourney (for design), ChatGPT (for automation), or Zapier (for workflows). Evaluate what works, drop what doesn’t, and track your ROI.
Also, reinvest some of your savings from automation. If AI saves you $1,000 in time or labor, put a portion of that back into smarter tools or training.
Over time, this compounding investment will move you from user to innovator.
9. 73% of businesses prioritize AI in their digital transformation efforts
The heart of transformation
Digital transformation used to mean going paperless or adopting cloud tools. Today, AI is the engine driving that change. Nearly three-quarters of companies see AI as central—not optional.
This isn’t just about efficiency. It’s about rethinking how your business works at every level.
Planning your AI transformation
Start by mapping your customer journey and internal workflows. Identify where delays, friction, or inefficiencies occur. Then match those with AI capabilities—automated onboarding, AI writing tools, forecasting models.
Create a roadmap. Break it down by department. Maybe Q2 is for marketing, Q3 for sales, Q4 for support.
And communicate clearly. Your team needs to understand how AI fits into your vision—not just what tool you’re using. Get buy-in by showing how their work will improve, not vanish.
10. 40% of marketing and sales departments now use AI-driven analytics tools
Smarter selling, better targeting
Marketing and sales have always been about reading signals. AI makes those signals clearer. It analyzes behavior, predicts intent, and suggests actions faster than any team could manually.
This is why so many departments are now leaning on AI to guide campaigns, pricing, and lead scoring.
Where to start
If you’re in marketing, start with predictive analytics. Use tools like HubSpot, Clearbit, or Google Analytics with AI features to see which campaigns are driving the best leads.
If you’re in sales, use AI to score leads based on past behavior. This helps reps prioritize who to call—and when.
Also, try conversational analytics. Tools like Gong or Fireflies can analyze sales calls to surface winning scripts or highlight common objections.
The insights are already there. AI just helps you hear them better.
11. 60% of organizations using AI see revenue increases
AI and growth go hand-in-hand
AI isn’t just about saving time—it’s about making more money. That’s the result that matters most. And for 6 out of 10 businesses, it’s already happening.
From smarter upsells to faster customer service to personalized offers, AI makes conversion easier.
How to turn AI into revenue
Focus on areas where AI can directly influence buying decisions. That might be your website copy, email flows, pricing strategy, or abandoned cart follow-ups.
Use tools like ChatGPT to write more engaging product pages. Use Klaviyo’s AI to test email subject lines. Let AI optimize your ads in real time.
Don’t stop at marketing. Think about operations. AI can help you identify top-selling products, predict inventory needs, or reduce return rates.
Track the before-and-after carefully. Know exactly where revenue jumps—so you can double down.
12. 80% of retail executives expect AI to drive major supply chain efficiencies
Smarter, faster supply chains
Retail lives and dies by logistics. That’s why four out of five retail leaders see AI as key to making their supply chains more efficient, responsive, and profitable.
With AI, they can forecast demand more accurately, manage inventory in real time, and react faster to disruptions.
How to apply this in your business
Start with demand forecasting. Tools like Oracle, SAP, or even startups like Lokad use AI to predict what products will sell, and when.
Next, look at warehouse management. AI can help optimize picking routes, reduce downtime, and even spot fraud.
Finally, use AI to monitor supply chain risks—like weather, supplier delays, or geopolitical shifts—and adjust automatically.
If you don’t have a big supply chain, think smaller: how do you restock your own materials? Where can smarter decisions save money or time?
13. 45% of large organizations use AI to optimize pricing models
The science of smart pricing
Nearly half of large businesses are letting AI guide their pricing decisions. Why? Because pricing is tricky. Go too high, and you scare customers away. Go too low, and you leave money on the table.
AI pricing tools analyze buyer behavior, competitor pricing, inventory levels, and market demand to find the best price—at the right time.
How to rethink your pricing with AI
If you sell products online, try tools that adjust prices based on time, location, or behavior. For example, prices could drop slightly to nudge someone who has visited a product page multiple times but hasn’t purchased yet.
Even service providers can benefit. Use AI to bundle services, predict discount effects, or test pricing tiers.
Always A/B test. Don’t assume the AI is always right—let it run tests and show you the results. Then use human judgment to refine further.
Think of AI not as a replacement for pricing strategy, but as a powerful assistant that adds clarity.
14. 58% of companies report improved customer retention through AI personalization
Keeping customers longer
Retention is often more profitable than acquisition—and AI is proving to be a strong ally here. Over half of companies using AI say it’s helping them keep customers longer.
The secret? Personalization. AI helps tailor emails, product recommendations, and content to match individual preferences. That makes customers feel seen and understood.
Your next steps
Segment your audience based on behavior, not just demographics. AI can help cluster your users into groups based on purchase habits, browsing patterns, or support history.
Then use this data to personalize experiences—like emails that recommend the next logical product or a support message that references a recent issue.
You can also use AI to spot churn signals. If someone’s usage drops or complaints rise, AI can flag it early. That gives your team time to act—send a check-in, offer support, or provide a special deal.
Make personalization easy and natural. The more relevant your messaging, the longer your customers stay.
15. 72% of executives say AI will be the most significant business advantage of the future
The new gold standard
Executives across industries agree: AI is becoming the most valuable business advantage. It’s no longer just about good people or even good products—it’s about smarter systems that work faster and adapt quicker.
When nearly three-quarters of business leaders align on this, it’s a clear signal: AI is not optional anymore.
What you can do right now
Audit your business for where you’re still relying heavily on manual guesswork. Whether it’s sales forecasting, campaign planning, or hiring, these are prime areas for AI support.
Also, look for decision bottlenecks. Where do approvals get stuck? Where is data analysis too slow? Inject AI tools to support quicker, evidence-based decisions.
Future-proofing your business means becoming data-driven and AI-aware. Make AI adoption part of your strategic planning—not a back-burner initiative.
The earlier you start, the more of an edge you gain.
16. 34% of companies are replacing legacy systems with AI-powered platforms
Letting go of the old
A third of businesses are saying goodbye to outdated software and adopting AI-native platforms. These systems are built for speed, flexibility, and insight—not just storage or record-keeping.
AI platforms can learn, adapt, and help users take action faster. That’s a huge step up from legacy tools that just store data.
How to modernize
First, identify your slowest, clunkiest systems. Maybe it’s your CRM, accounting software, or HR portal. Are people constantly switching tabs, exporting spreadsheets, or doing manual reconciliations?
Next, research AI-first alternatives. Platforms like Notion AI, FreshBooks, ClickUp, or Glean aren’t just digital—they’re intelligent. They surface insights, auto-summarize reports, and even guide users through tasks.
Migration takes effort, but the gains in speed and usability make it worthwhile. Involve your team in choosing tools that fit their needs, and offer training to make the transition smooth.
The goal is to work smarter, not harder.
17. 50% of organizations plan to increase AI spending in the next year
Doubling down on AI
Half of all companies aren’t just maintaining AI budgets—they’re growing them. That means more tools, more talent, and more integration.
This increase shows that AI isn’t a passing experiment. It’s becoming part of the core infrastructure.
How to plan your AI budget
Even if your budget is small, start by allocating funds to explore new AI tools. Don’t focus only on software—consider training, consulting, or internal development.
Track ROI carefully. If a $100/month tool saves 20 hours of work, that’s a solid return.
Also, watch your competitors. If they’re increasing AI investment, and you’re standing still, you’re giving them a long-term edge.
Think of AI spending as planting seeds. You may not see overnight results, but you’re building resilience for the future.
18. 43% of finance functions are using AI to enhance forecasting
Predicting the future better
Finance teams aren’t just crunching numbers anymore—they’re using AI to see around corners. Almost half are enhancing forecasts using machine learning, which adjusts models based on new data and trends.
That means better cash flow planning, smarter budgeting, and fewer surprises.
Bring this to your business
Even if you’re not a CFO, you can use AI tools to improve your own forecasts. Try AI-driven spreadsheets like Pigment or forecasting features in platforms like QuickBooks or Oracle NetSuite.
Feed these tools with clean, recent data. Let them spot trends you might miss—like seasonality shifts, unexpected spend spikes, or underperforming areas.
If your forecasts are off, AI can help you figure out why and fix it fast.
Also, loop in other departments. Sales, marketing, and ops all influence your financial reality. The more connected your data, the better your forecasts.
19. 90% of companies using AI report faster decision-making processes
Speed is the new power
Businesses using AI are making decisions faster—90% of them. And that’s a huge deal. In a fast-moving market, speed beats size. Being able to act quickly gives you the edge, whether it’s responding to trends or pivoting away from risk.
AI cuts through the noise and brings clarity.
How to speed up your own decision-making
Use AI to synthesize data across teams. Instead of waiting a week for reports, use tools that generate insights in minutes. Whether it’s sales numbers, customer feedback, or marketing performance, AI can surface patterns fast.
Also, use AI to test ideas quickly. Want to try a new ad headline? Use AI to generate and A/B test variations. Need to draft a proposal? Let AI handle the first draft.
The goal isn’t just more decisions—it’s better, faster ones. Empower your team to act quickly with data at their fingertips.
20. 49% of all applications developed now involve some level of AI
AI is now default
Almost half of all new software includes AI features—from auto-tagging images to predicting user actions. That means whether you’re building in-house tools or buying new ones, AI is likely already part of the experience.
You don’t have to go out of your way to find AI. It’s already there.
How to leverage this trend
Before building anything new, check if existing tools already include AI. You might find features like auto-scheduling, predictive alerts, or smart filters that you’re not using.
If you’re working with developers, encourage them to explore AI APIs. Tools like OpenAI, Hugging Face, and Google Cloud AI make it easier than ever to add AI features without starting from scratch.
As you adopt new software, look for smart defaults—apps that adapt, learn, and improve over time. These are the tools that will scale with your business.
21. 67% of businesses use AI to enhance cybersecurity
Protecting smarter, not just harder
As threats become more sophisticated, traditional cybersecurity methods struggle to keep up. That’s why two-thirds of businesses are turning to AI to strengthen their digital defenses.
AI doesn’t sleep. It constantly scans for unusual activity, flags risky behavior, and reacts faster than any human team ever could.
What you can do to strengthen your security
Start by assessing your current security setup. Are you relying on basic antivirus tools and manual monitoring? If so, it’s time to explore AI-driven cybersecurity platforms.
Consider tools that detect anomalies in user behavior. For example, if an employee logs in from an unusual location or downloads sensitive files at odd hours, AI can catch that in real time.
Phishing protection is another area where AI shines. It can scan email content and sender patterns to stop malicious links before they even hit inboxes.
Also, educate your team. AI can support your defenses, but people are still the first line. Combine smart tech with strong policies.
Security is no longer just an IT issue. It’s a business continuity priority—and AI is your best co-pilot.
22. 81% of IT leaders see AI as a key enabler of innovation
Driving innovation from the inside out
IT isn’t just about keeping systems running anymore. It’s becoming the engine of innovation—and AI is fueling that transformation. More than 80% of IT leaders now say AI is central to building smarter, faster, more flexible solutions.
When IT uses AI, it’s not just fixing problems. It’s unlocking new possibilities.
How to turn your IT team into innovators
Encourage your IT department to lead AI experiments—not just support them. Ask them to identify processes they can enhance with automation or predictive insights.
Give them the freedom to explore AI in areas like infrastructure optimization, ticket triage, or even user onboarding.
Make innovation part of their goals. Instead of only measuring uptime and bug fixes, track how many hours AI saves, or how many internal workflows they’ve improved.
Bring business and IT teams closer. Innovation happens faster when both sides collaborate on solving real pain points, not just implementing tech for tech’s sake.
23. 59% of enterprises use AI to identify new business opportunities
AI as your opportunity radar
More than half of large companies are using AI to uncover new markets, products, and customer needs. It’s like having a radar that constantly scans for untapped potential.
AI doesn’t just analyze what happened—it spots what could happen next.
How to use AI for business growth
Feed your AI tools with customer feedback, website behavior, and market trends. Let them analyze patterns that point toward unmet needs or shifting demand.
For example, if a large number of users are searching your site for a feature you don’t offer, that’s a product idea. Or if support tickets highlight a common pain point, maybe there’s a service opportunity there.
Use AI to monitor industry news and competitor activity. You’ll be able to pivot faster when opportunities emerge.
And don’t keep these insights locked in a dashboard. Share them in cross-functional meetings. When everyone understands where growth could come from, action happens faster.
24. 75% of CEOs believe AI will fundamentally change how they do business
Leadership with foresight
Three-quarters of CEOs now believe AI won’t just tweak how they operate—it will transform their entire business. That’s a big deal. It means change is coming from the top, and it’s structural, not cosmetic.
Leaders are preparing for new revenue streams, new roles, and entirely new ways of delivering value.
How to align your strategy
As a business owner or team leader, your job is to make sure you’re not just reacting—you’re leading. Build AI into your strategic plans. Don’t make it a tech initiative. Make it a business priority.
Ask big questions: How will AI change our core offerings? Can we deliver our service in a smarter, more automated way? What will our customers expect a year from now?
Look at case studies in your industry. Which companies are already changing how they serve customers using AI? Learn from them.
Also, be ready to change internal structures. Some roles may shrink, others will expand. Cross-training, reskilling, and hiring for adaptability will become core parts of your talent strategy.
25. 46% of customer service teams now use AI chatbots
The rise of the support bot
Almost half of customer service teams have embraced chatbots—and for good reason. Bots are available 24/7, never get tired, and can handle hundreds of conversations at once.
They’re not here to replace humans—they’re here to handle the volume and leave the complex stuff to your team.
How to use chatbots the right way
Start with a simple bot that handles FAQs. Things like order status, return policies, or booking confirmations are easy wins.
Use decision trees to guide users to the right path. If the issue is complex, hand off to a human rep—but keep the context so the customer doesn’t have to repeat themselves.
Measure bot success not just by how many questions it answers, but by how many support tickets it deflects and how satisfied users are.
Use AI to continuously train the bot with real customer questions. The smarter it gets, the more useful it becomes.
And don’t forget voice. Voice bots are gaining traction, and they work great in industries like travel, banking, and healthcare.
26. 39% of manufacturing firms use AI for predictive maintenance
Fix it before it breaks
Manufacturers are under constant pressure to reduce downtime. That’s why nearly 40% are using AI to predict equipment failures before they happen.
Predictive maintenance uses AI to monitor vibrations, temperature, or energy use—flagging issues early so teams can act before something breaks.
Apply this thinking to your business
Even if you’re not in manufacturing, you have systems that need maintenance—whether it’s servers, vehicles, or even customer pipelines.
Use AI to watch for signs of trouble. For example, if your website traffic dips suddenly, AI can alert you. Or if customers stop engaging with your emails, that’s a sign of deeper issues.
For physical operations, IoT sensors paired with AI can provide real-time health checks. You’ll move from reactive to proactive, saving money and avoiding disruptions.
27. 88% of HR leaders say AI will reshape talent acquisition
Smarter hiring, better fits
Hiring is one of the most time-consuming parts of running a business—and often one of the most error-prone. That’s why nearly 9 in 10 HR leaders believe AI will completely reshape how we find and hire people.
AI screens resumes, matches candidates, and even predicts cultural fit.
How to hire with AI
Use AI tools to filter resumes based on skills, experience, and relevance. This saves time and removes some unconscious bias.
But don’t stop there. Use AI-driven assessments to understand how candidates think, solve problems, or interact in teams.
Also, use AI to engage passive candidates—people who aren’t actively applying but might be a perfect fit. Personalized outreach powered by AI gets better responses.
Always keep the human touch. AI can narrow the field, but people still hire people. Use AI to give you the best shortlist possible—then take it from there.
28. 53% of businesses use AI to enhance product development
Building better, faster
More than half of companies are using AI to guide how they design, test, and improve products. It’s like having a focus group that works at lightning speed and gives crystal-clear feedback.
From analyzing customer feedback to simulating performance, AI speeds up the product cycle.
Steps to enhance your product with AI
Start by analyzing how customers use your current product. Use AI tools to detect which features are most used, where users drop off, and what support queries come up the most.
Use that data to prioritize improvements or new features.
Also, run simulations. Before you invest in building a new product or module, let AI model how users might interact with it. You’ll catch problems before they become expensive mistakes.
Involve your product and support teams together. AI insights mean little if they’re not paired with real-world understanding. The goal is to build things people actually love.
29. 61% of healthcare organizations apply AI to improve diagnostics
Smarter health insights
In healthcare, precision matters. AI is helping doctors spot patterns that are too subtle for humans—like early signs of disease or abnormal scans.
Over 60% of healthcare providers are now using AI to enhance diagnostic accuracy. That means faster, more accurate care.
Lessons for other industries
If you’re not in healthcare, you can still learn from this. The key idea is pattern recognition—finding important signals in large, complex data sets.
Whether it’s user behavior, financial data, or employee feedback, AI can help you diagnose problems early and take corrective action.
Use AI to flag churn risk, credit risk, or declining engagement. Then act quickly to adjust course.
Think of AI as your radar. It sees what you might miss.
30. 76% of companies say AI adoption is essential to staying competitive
The new baseline
More than three-quarters of companies now believe that without AI, they risk falling behind. It’s not a nice-to-have—it’s a must-have.
This stat sums it all up: the AI boom isn’t just changing business models. It’s becoming the foundation for survival and growth.
Final thoughts and your action plan
You don’t need to be a tech giant to use AI. Start with small, specific use cases. Automate a few tasks. Improve a few decisions. Test a few new ideas.
Focus on impact, not hype. Track your wins. Build confidence.
And most importantly—keep learning. The companies that thrive in the age of AI will be the ones that treat AI not as a one-time project, but as a continuous journey.
The boom is here. It’s time to reshape your business.
Conclusion
The AI boom is not a passing phase—it’s a defining shift. Across every industry, in companies large and small, AI is transforming how decisions are made, how products are built, how customers are served, and how businesses grow.
