Yet for many business decision-makers, the biggest question continues to be: “How do I start the journey?”

To help answer this question, I want to outline some practical applications of AI that can help your team achieve more today. I’ll then end with some high-level implementation tips.

First, a few words about preparing for the road ahead.

Nurturing (and protecting) your new “learning culture”

As your organisation implements AI, you’ll embark on a change-management journey in which departmental and data silos tend to disappear. In fact, you’ll get the best out of AI by nurturing:

• Organisation-wide participation, so all staff can contribute new solutions to business problems
• Two-way communication, right across a diverse and inclusive team
• Experimentation, including opportunities to learn from mistakes

Your new AI-driven “learning culture” will increasingly be powered by data, with richer insights and new analytical tools. To support this major shift, we’ve developed an end-to-end analytics solution, Microsoft Fabric, unveiled at Microsoft Build 2023. Infused with the Azure OpenAI Service at every layer, Fabric integrates the most advanced D&A tools – from Data Factory to Power BI and Synapse – in one place. Enabling you to surface business insights faster than ever.

Responsible AI by design

It will also be important to consider the ethical, cultural and compliance aspects of deploying AI technology. You can rest assured that, in designing AI solutions, Microsoft puts people and principle first. Our team of researchers, engineers and policy experts is guided by our AI principles and  Responsible AI Standard, along with decades of research on AI, grounding and privacy-preserving machine learning.

Our design process ensures Microsoft AI systems are scrutinised for potential harms and mitigations. We also make it clear how a system makes decisions by noting its limitations, linking to sources and prompting users to review and adjust content based on their subject-matter expertise.

5 ways to start implementing AI at work

The following scenarios highlight how Microsoft AI can help you work smarter and faster, using natural language to cut through the drudgery of search and manual compilation. Our solutions put technology, AI, data, cybersecurity and advanced usability through natural language at your disposal.

1. Transform workloads with an AI copilot

Imagine next-generation AI embedded into the Microsoft 365 apps you use at work each day – Word, Excel, PowerPoint, Outlook, Teams and more. That’s Copilot in Microsoft 365.

Using Copilot in Word, you can now quickly create a first draft to edit and develop using a language prompt. Want more help? Copilot will shorten, rewrite or give feedback on it.

You’re always in control. You can (and should) review, fact-check and fine-tune content yourself.

Creating a presentation? With Copilot in PowerPoint, you can easily bring in slide content from any previous deck. And Copilot in Excel will help you rapidly analyse trends and create data visualisations.

Create reports in seconds

With our Business Chat AI tool, you can use a natural language prompt (such as “Tell the CEO how we’ve updated the campaign strategy”) to instantly create a status update, based on your relevant meetings, documents, emails and chat threads.

2. Detect cybersecurity threats faster 

For security operations and response teams, constant vigilance against threats can drain resources and exhaust individuals.

Microsoft Security Copilot reduces the burden. It uses AI to integrate insights and data from security tools, detecting vulnerabilities earlier and shutting down cyberattacks.

Microsoft Security Copilot provides intelligent guidance informed by 65 trillion daily signals.

It also puts your people first by improving usability. To understand functions, users can simply ask for step-by-step guidance.

As with all our AI solutions, Security Copilot strictly follows our AI principles and Responsible AI Standard. It also runs on Azure’s hyperscale infrastructure for a fully privacy-compliant experience.

3. Reinvent search with an AI copilot for the web  

Our new AI-powered Bing search engine and Edge browser tools are like a copilot for the web. They give you more complete search answers, a new chat experience, and the ability to generate content.

“We’ve launched Bing and Edge powered by AI copilot and chat, to help people get more from search and the web.”

Satya Nadella, Chairman and CEO, Microsoft

With the chat experience, you can easily fine-tune your search by asking for more details and clarity. You’ll get relevant links to follow up, too.

Merging search, browser and chat opens up exciting possibilities. Need the highlights of a long annual report? Just ask for it using the Edge Sidebar. Want to compare it to a competitor and see them side-by-side in a table? Just use the chat function.

Even as AI transforms search, the privacy policies of Bing and Edge AI ensure your user identity and behaviour are safe and protected.

4. Improve services and solve problems with AI

Rapidly improve your customer service and data insights by tapping into the power of generative AI models, including GPT-4, Codex, and DALL-E 2. All are available through the Azure OpenAI Service, backed by built-in Microsoft Azure security, compliance and data privacy and the Responsible AI Standard.

Solve your business problem in seconds

Looking to speed up clinical communications or automate an accounting process? Any team member can now do it using AI and low-code. We’ve added Copilot to Microsoft Power Platform, so you can create apps, flows and bots in seconds through natural language. And whatever you build, you can easily query the data for instant, actionable insights.

You can develop Power Automate workflows in 50% less time with Copilot.

5. Unite teams, communicate and collaborate in one place

We’ve also improved usability. Instead of having to keep an eye on your chat while presenting in Teams, you can use Copilot to auto-answer any questions – and save time to collaborate.

Copilot finds Teams notifications, messages and information rapidly and helps you manage work with personalised suggestions. Asking Copilot for a summary can help reduce that Monday morning weekly-status stress by putting you one step ahead.

Implementing AI at scale: 4 practical steps

Scaling your AI journey can be confusing with so many technical, business, cultural and ethical considerations. To move smoothly from experimenting to implementing, follow these steps.  

1. Think business transformation

Approach AI as a business change programme, with tech as a key component. AI will transform your culture, so this might help you think big. It will also stop you seeing AI as belonging solely to IT. 

2. Get your people onboard

Take the time to explain to stakeholders the reasons for change. Highlight the benefits they can expect. No-one should feel they’re having AI “done to them”.   

3. Identify a problem to solve

Scope a business problem, then plan how AI can help solve it. That way, your solution can create measurable value. Don’t use a new business problem – start with one you know and understand.

4. Build an organisation-wide strategy

Create a strategy that allows AI to scale organically. Businesses that focus on scale do better than those hoping multiple, smaller projects will automatically lead to scale.

Over to you

Integrating AI into your business shouldn’t be a daunting process. We’ve designed our AI solutions to fit in with the way you work, not the other way round. This includes applying robust ethical AI principles at every step, and it’s why Copilot automatically adopts your organisation’s security, compliance, and privacy policies and processes. It also protects your tenant, group and individual data.

As Microsoft AI creates a new workplace interaction between humans and computers, I hope this blog has inspired you to take the first step. I look forward with excitement to seeing how AI helps you unleash innovation, unlock productivity and expand skills across the team.

Find out more

Visit the Microsoft AI hub

Accelerate competitive advantage with AI

Build an AI strategy with our Digital Transformation Playbook

Microsoft Responsible AI principles

About the author

As National Technology Officer, I lead Microsoft’s technology vision and model its culture of learning, while developing strategies to protect and extend Microsoft Cloud into complex regulated markets. My goal is to inspire leaders of state and enterprise, as well as regulators and customers, on how best to leverage innovation to drive digital transformation.

The post AI starter pack: 5 ways to implement AI into your business appeared first on Microsoft Industry Blogs - United Kingdom.

The link between secure data and trust is well established. It is also a topic that frequently comes up when I talk to our customers and partners. You cannot have trust without privacy, and you cannot have privacy without security. Many organisations now face the challenge of meeting the growing expectations of customers while maintaining productivity in a secure, ‘hybrid’ environment.

Clearly, it’s a narrow path, and this year in particular we’ve been learning how to walk it. So today, I’m going to share our learnings – that it’s possible to retain and even improve customer trust while effectively managing security and risk.

Simplify security to improve customer and employee experiences

Innovation and productivity are hugely important to organisations, especially in unpredictable times. So how can an effective security solution work with and enable them?

Our experience is that having an integrated approach built on a ‘zero-trust’ model can keep your digital real estate secure, without sacrificing creativity or impacting workflows.

What is zero trust? It’s when all users, devices, apps and infrastructure – both inside and outside your network – are presumed untrustworthy. So, by default, the same automated security checks are applied to all users, devices, applications and data, every time.

When we implemented zero trust at Microsoft, it enabled our employees to access the tools they needed to work with their customers, from anywhere.

We also use single sign–on using biometric based authentication wherever possible, focussing on multi-factor authentication. MFA reduces the risk of identity fraud by more than 99.9 percent. And single sign–on means employees only have to sign in securely on a device once (unless the conditions change) before accessing all the tools and apps they need to provide great customer experiences. 

Data security in the cloud

In a fast-changing threat landscape, it’s crucial to safeguard organisational data. Our own research suggests that criminals have even been exploiting COVID-19 for their own personal gain. For a company like Vodafone, they have to keep over 630 million customers’ data secure, while complying with government regulations. They also want to ensure they can continue delivering services to customers.

Alongside our zero-trust model, we’ve established a secure foundation, based on Azure. It has multi-layered security across physical data centres, infrastructure and operations. We have over 3,500 global cybersecurity experts working to safeguard assets and data. In the background, machine learning, behavioural analytics and application-based intelligence check out potential threats, while we all get on with our work. Integration combined with intelligence reduces thousands of alerts to a handful of incidents correlating those alerts. Information Protection (DLP) and Compliance helps us make sure we meet industry regulations and customer requirements while also helping protect, govern, and recover data.

Enable remote work security

Our security journey has changed how we manage identity and network access, and our ability to secure a remote workforce has improved. As I’ve outlined, at the core of zero trust is user identity and endpoint management. This makes it easy for our employees to securely access their work, no matter where they are.

The same foundation effectively supports any Bring Your Own Device scenario. This can reduce costs and make life easier, as your employees seamlessly use their own devices while staying secure.

Staying cyberstrong

What do I believe is the most important part of our security strategy? Our people. There’s nothing like creating a culture of security to keep organisations safe. That’s why it’s important to ensure everyone – from the top down – has good cybersecurity awareness and knowledge. It’s important to ensure everyone is comfortable to speak up if they’ve done something wrong, without fear of retribution. We incorporate fun web training that makes employees feel empowered to stay secure.

That said, we’re aware that there’s a looming security skills shortage, with 3.5 million unfilled positions predicted by 2021. At Microsoft, we’ve widened our search for talent, broadened our inclusion and diversity efforts, and are aiming to re- and up-skill current employees. Our security skills training is accessible to all and can be applied beyond typical office scenarios.

Meanwhile, automation takes on our more repetitive security tasks, such as low-level event handling. Azure Sentinel, for example, cuts alert noise by 90 percent, with just the most critical, thorny issues—the top 10 percent—escalated to professionals for them to address. Security Graph uses the cloud to connect all of Microsoft security products, services, and partners, collecting trillions of data points daily. This feeds threat intelligence across customers and partners. Ultimately, speeding up threat detection and incident response. 

Building customer trust with security

I believe security, when it is built-in and treated like an enabler rather than a pain point, frees up employees to be able to do their best work. Supported by AI and machine learning to help take over the low-level monitoring, your cybersecurity team can focus on higher–level tasks. This translates to better customer experiences and protection over your whole digital estate, including data. 

Find out more

10 tips for enabling zero trust security

How we enabled zero trust

Our remote working best practices

Optimise recruitment in cybersecurity

Security and risk management

How modern cybersecurity helps you stay productive and resilient

Resources for your development team

Security best practices and guidance

Microsoft Learn for Security Engineers

About the author

As National Technology Officer, Glen leads Microsoft’s technology vision and models its culture of learning, while developing strategies to protect and extend Microsoft Cloud into complex regulated markets. He will inspire leaders of state and enterprise, regulators and customers on how best to leverage innovation to drive digital transformation.

The post Leveraging security to build customer trust appeared first on Microsoft Industry Blogs - United Kingdom.