The White House Center for Science and Technology Policy defined the five core principles that underpin the Blueprint for an AI Bill of Rights. In July 2023, several large technology companies including Google and Meta convened at the White House to announce voluntary commitments advancing the safe, secure, and transparent development of AI. The latest order sets out to define standards for safety and security, advance equity and civil rights, promote innovation and competition, and ensure transparency to protect consumers. This sweeping order also promises to foster strong international collaboration to ensure the same principles guide global AI development. Let’s delve into the key areas and explore five main takeaways.

1) Defines New Standards for AI Safety & Security

The executive order requires that companies developing the most powerful AI algorithms notify the government when they are training these models and share critical safety test data with the U.S. government. This will apply to models that may pose national security, economic, public health, and safety risks. The National Institute of Standards and Technology (NIST) will develop rigorous standards to ensure that AI systems are secure and trustworthy prior to their public release. The order also builds on the Biden-Harris Administration Artificial Intelligence Cyber Challenge (AIxCC) with a cybersecurity program that encourages the adoption of AI tools to flag and mitigate vulnerabilities in critical software.

2) Emphasizes Privacy & Data Protection

The Biden Administration’s order is developing programs that will evaluate and develop best practices for federal agencies to protect data privacy for Americans. This program will fund the creation of a Research Coordination Network which will collaborate closely with the National Science Foundation to encourage widespread adoption of cutting-edge privacy technologies by federal agencies. This order also requires that federal agencies be provided with stronger guidance on how they collect and use commercially available information in order to mitigate the risks posed by AI.

3) Advances Equity & Civil Rights

The Blueprint for an AI Bill of Rights identifies algorithmic discrimination as an emerging area that undermines equality and civil rights. Guidelines and best practices will be developed to help ensure that AI is used responsibly in the criminal justice system, benefits programs, federal contractors, landlords, and in workplaces. Federal law enforcement agencies will be equipped with the knowledge, skills, and tools to properly investigate and prosecute civil rights violations that involve the use of AI.

4) Advocates for Patients, Workers & Consumers

Society enjoys real benefits from AI applications — including improved healthcare research and delivery, greater productivity, and more personalized experiences in several settings. However, AI brings with it increased workplace surveillance, bias, and potential for discrimination in medical, employment, consumer, and educational settings. The White House Executive Order on Artificial Intelligence benefits workers by defining guiding principles and best practices to ensure employers do not misuse AI to exploit or discriminate against workers. It also establishes a budget to ensure that AI is used effectively and ethically for the development of lifesaving healthcare treatments and to correct healthcare practices.

5) Promotes American Leadership in AI Innovation & Fosters Competition

This order, along with others issued in recent years, fosters breakthrough innovation by authorizing pilot programs, grants and education opportunities. It also emphasizes the need for international, multi-disciplinary collaboration to ensure that the future of AI is safe and trustworthy everywhere. To this end, the State and Commerce Departments will lead international efforts to institute effective frameworks and accelerate the creation of crucial international AI standards that will mitigate risks while still allowing people to take advantage of AI’s many benefits.

The executive order’s standards, best practices, and principles lay a strong foundation for developing responsible, equitable AI systems. The U.S., in collaboration with international partners, aims to ensure that AI is trustworthy, upholds individual rights, and its fullest potential is maximized to support critical global initiatives. AI is still in its early stages, but this Bill marks an important milestone.

Jennifer Mullen, Emerging Technology Solutions at Keysight Technologies (KEYS)

The post 5 Things You Need to Know About the White House Executive Order on Artificial Intelligence appeared first on My TechDecisions.

For decades, writers and filmmakers have imagined dystopian futures where AI displaces and tries to destroy humanity. So, it’s understandable that people are apprehensive about generative AI’s foray into the workplace. It’s important to acknowledge AI’s transformative effect on workplaces, industries, economies and everyday life in ways we’re just starting to envision.

Even before ChatGPT came on the scene, researchers projected AI would displace 85 million jobs by 2025, but that same study also predicted 97 million new jobs will be created. Organizations that embrace and develop AI, provide incentives for employees to use it and create a human-centric culture where AI helps employees succeed at work will win the future.

As CTO of a team that recently launched a successful AI product for the global employer of record market, I’m optimistic — not only about the value of the technology but also for the employees whose knowledge and expertise AI will augment. Here’s a closer look at how employees and AI complement each other’s strengths and can work together to create business value within a human-centric company culture.

AI Should Augment Human Capabilities Rather Than Replace People

To address the elephant in the room, AI won’t replace human knowledge workers. It requires our insight into what’s happening in the real world to grow and learn to accomplish new tasks. According to some studies, approximately 90% of content online is predicted to be AI generated by 2026, i.e., synthetic data. In some scenarios, synthetic data is useful for training specific models. In fact, a 2021 leveraging synthetic data to refine AI-powered fraud detection tools.

But past a certain point, synthetic data can corrupt large language models due to LLMs depending on unique, creative insight related to real-life events, systems and trends to produce reliable answers. Models like ChatGPT may curate and repurpose existing content, but they also rely on human knowledge and creative thinking that transcends linear reasoning. For example, if companies are trying to hire, recruit and pay international talent, turn to AI for the latest HR best practices, which often change in response to new legislation and emerging trends, they’d need to use an AI model that incorporates human expertise to ensure accurate answers.

Some of the most exciting applications of generative AI are solutions that combine proprietary business expertise with LLM platforms to create a generative AI chat interface. This type of knowledge base can expedite delivery of information to internal and external customers and become a more valuable business asset over time as it learns and improves. But that’s only the case if company leaders think of employees not just as people who help administer the technology but as partners in a sociotechnical system, where people and AI work together, each making contributions to generate value.

Redefining Employee Roles in AI-Powered Industries

The best way to create a system where interactions between humans and technology create value is to build AI solutions in collaboration with employees, not as a separate project to replace them. This is especially important in industries that offer expertise and knowledge as their primary product.

A productive AI-human partnership will require new ways of thinking about how to deliver knowledge to customers. For example, in some jobs, employees apply expertise by responding to emails, submitting helpdesk tickets or collaborating with customers on phone calls. A new role for those employees might be analyzing emerging trends, writing content and training models, bringing the same expertise to solve customer problems in a novel way.

To develop AI solutions that augment employee expertise and knowledge, technology leaders will first need unfettered access to company data — including information that might be difficult to reach due to the use of legacy systems. They’ll also require AI-specific talent to help build out the solution, a blend of expertise from the software engineering and data science disciplines. That’s a commodity already in short supply, so finding people with the right skills should be a priority for an AI project.

Equally as important, building AI solutions will require incentives across the workforce to fine-tune the generative AI solution after launch. As the model ingests more and more information, it learns and becomes more adept at solving problems. Employers who bring more people into the conversation with AI will create additional value by providing multiple perspectives. So, if a customer has a question, the AI chat interface can provide an initial answer that can later be refined by human partners to create a solution that includes well thought-out strategies.

Building a Human-Centric Culture

So how can companies create a generative loop where humans and AI work together to constantly improve output? My AI project team created a chat interface that automates some of the mundane and time-consuming aspects of our knowledge workers’ jobs, and this has proved to be a powerful motivator for employees to keep engaging with the system. It frees staff from tedious tasks and gives them more time to focus on higher level work. That benefit answers the “what’s in it for me?” question that employees naturally ask themselves.

Other real-world examples of ROI from our AI project include employees getting instant answers to questions, when before they used to have to wait hours or days for a subject matter expert to weigh in so they could resolve an issue for a client. Another internal user called the chat interface a gamechanger because it can instantly access data across multiple systems that a person would have to laboriously assemble by consulting several different applications and datasets.

If you can create an architecture that seamlessly accesses data companywide and put together an innovation team that’s encouraged to experiment and explore new possibilities with emerging AI technology, you can build a solution that adds value immediately. And if you operate within an environment where people are adaptable and motivated to access AI to fulfill your company’s mission, you can leverage that human-centric culture to transform the business.

Every business will adapt in its own unique way, but being transparent about how AI will affect roles, encouraging employees to embrace change and instituting a more collaborative approach are essential across the board. Ready or not, generative AI will continue to transform the way companies operate, and an AI-driven business transformation, that leverages human capital, can offer exciting opportunities for businesses to serve customers better and gain a competitive edge.

Duri Chitayat is CTO of Safeguard Global

The post Leading the Evolution Towards Human-Centric AI Work Cultures appeared first on My TechDecisions.

Artificial Intelligence (AI) is quickly becoming a mainstay in our everyday lives. Whether it be text-to-image generators like DALL-E or language processing tools like ChatGPT, sophisticated AI tools are revolutionizing the way we work.

That’s especially true in the hybrid workplace, where organizations are searching for new ways to bridge the gap between distributed employees. Given this challenge, it’s no wonder that videoconferencing has emerged as AI’s next step in revolutionizing how we live and work.

Let’s explore AI’s role in videoconferencing and how its latest innovations are improving the meeting experience.

The Rise of AI-Powered Videoconferencing

It should come as no surprise that demand for videoconferencing apps has grown exponentially since the start of the pandemic in spring 2020. Without question, virtual meetings are the bedrock of hybrid work, enabling organizations to seamlessly connect and collaborate across a distributed workforce.

This uptick in demand runs parallel with the emergence of several new competitors in the videoconferencing market. In turn, vendors have been compelled to improve their services by releasing feature-rich additions to their existing applications.

AI technologies have also advanced in leaps and bounds over the same period. In fact, reports show that AI adoption is 2.5 times greater now than it was in 2017. The market is projected to skyrocket twentyfold by 2030 to nearly $2 trillion.

Now, the two worlds are converging. Leading platforms are weaving AI capabilities into their videoconferencing tools to enhance the meeting experience for maximum productivity and performance.

Four Ways AI Can Transform the Videoconferencing Experience

Gone are the days when organizing, running and managing your virtual meetings was a clunky, cumbersome endeavor. Thanks to AI’s advantages, videoconferencing platforms are empowering organizations to kick up their internal and external meetings several notches.

Here are four of the most impactful ways AI-driven solutions can improve the meeting experience.

#1 Natural Language Processing (NLP)

Natural language processing is a branch of AI that enables computers to understand text and spoken words in the same way a real person can. In other words, it’s about giving AI programs the power of conversational intelligence.

Modern videoconferencing tools are leveraging NLP across a host of innovative capabilities, including:

• Voice-to-text transcription: Using NLP, an AI-enabled platform can recognize and process complete sentences as they’re spoken during the meeting. This allows the system to automatically capture meeting notes, summarize conversations and generate searchable transcripts. When machine learning tools are incorporated, videoconferencing platforms can even identify who is speaking during the meeting.
• Real-time translation: Global enterprises may be holding internal or external meetings that stretch beyond borders and include attendees who speak different languages. With AI, the meeting software can give everyone an equitable experience by automatically translating live audio into the language of any user’s choice.
• Closed captions: Likewise, NLP capabilities can analyze audio and generate closed captions to make the meeting experience more inclusive for all participants.
• Noise removal: From cars and pets to housemates and more, there’s no telling what sounds might suddenly disrupt and derail a meeting. Machine learning can be used to train AI to identify and remove those noises before they’re picked up. For hybrid teams, this is especially useful, as automatic background noise removal and acoustic fencing filters out distractions in different locations to keep meetings running smoothly.
• Sentiment analysis: Consider the customer experience use case for videoconferencing: contact center agents working on resolutions in real-time. One major benefit for agents is AI’s ability to understand sentiment and tone during a conversation. Programs can analyze a speaker’s voice to uncover pain points and frustrations during the interaction. This allows managers to evaluate both customer experience and agent performance for future improvements.

#2 Conversational AI

Although they’re also built on NLP, conversational AI programs stand on their own. In simple terms, conversational AI refers to platforms that can chat and interact with users. That said, their capabilities stretch far beyond simple back-and-forth communication.

For example, voice-based virtual assistants can be used to streamline meeting management. Users can simply speak to their endpoints and apps to kickstart a meeting, turn on their camera, capture important items and control the experience from start to finish.

Chatbots can also be asked to schedule follow-up meetings with attendees, assign action items, send automated reminders and more.

#3 Computer Vision (CV)

According to Aragon Research, computer vision will have the biggest impact on intelligent videoconferencing in the future. This type of AI uses algorithms to understand, analyze and reconstruct visual inputs from image or video data.

This has several innovative use cases for meetings:

• Optimized framing: CV can help participants stay in their cameras’ frame when presenting to colleagues and customers. By automatically tracking the speaker’s movements, the system keeps you centered in your video to eliminate unwanted distractions. In addition, multiple cameras in a room can now work together by switching cameras views to focus on the active speaker. The result? A cinematic video experience that follows the conversation from one speaker to the next.
• Adaptive tracking: For meetings with multiple speakers, CV programs can ensure everyone is equally represented on screen. During webinars, cameras can adaptively track speakers as they move across the room or auditorium stage, ensuring that they’re always in everyone’s view.
• Immersive presentations: Virtual presentations are challenging in hybrid settings. CV allows presenters to deliver more immersive content by automatically screen sharing in front of presentation materials.
• Meeting zones: AI will soon use machine learning to automatically learn and frame your space based on predefined boundaries. This will ensure that distraction from passers-by are removed from the meeting in glass-walled rooms or open space.

#4 Productivity Analytics

People spend a lot of time in meetings these days. So, it’s important for organizations to ensure that time is well spent on value-added activities and core business processes. Fortunately, AI-powered solutions are helping businesses capture meeting data and leverage it to their advantage.

AI enhances data collection and offers users the power to evaluate key metrics. For example, platforms can record time spent on certain agenda items and activities, back-to-back meetings and other real-time insights that can be delivered directly to employees to help improve their productivity.

The Future of AI-Driven Videoconferencing

In truth, we are only scratching the surface when it comes to what AI can bring to the table. But, with the videoconferencing market expected to double by 2030, it’s safe to say that AI-powered meetings will be a major asset for years to come.

Robyn Rawlings is director of campaigns and content marketing at Webex by Cisco.

The post AI’s Revolutionary Impact on the Videoconferencing Experience appeared first on My TechDecisions.

Technology has been a passion of mine for a long time, so I have personally found it fascinating to watch the variety of opinions and perspectives unfold as technologies mature. It has challenged my thinking and preconceptions, and I recognize that as a leader and a human I need to address them.

I’ve covered everything from fundamental ethics and whether it is good or bad, through to more specific considerations like ‘what do I want from AI?’, and therefore ‘what might others want from it?’.

Naturally, it’s been hotly debated by my colleagues. The leadership team is considering how today’s and tomorrow’s versions of AI should shape our own role in AI creation and adoption.

We already know that artificial intelligence for IT operations (AIOps) is poised to take advantage of the benefits. At Avantra, we’ve long evangelized the value of automation to offset risk, better utilize skill and boost productivity and innovation. But the debate that surrounds AI has helped us understand that our next phase of technical development must be underpinned with even greater pragmatism and responsibility.

The latest numbers I saw suggest that every day, 100 million people are experimenting with the likes of ChatGPT and other Large Language Models (LLM), such as Bard. Numbers like this highlight the popularity and allure that machines still have. Just like the washing machine, if it makes life easier, why would you not use it?

Download: ChatGPT and Generative AI in the Workplace

Proceeding with Caution

However, even though world renowned university colleges are condoning the use of conversational AI tools, leading experts are urging caution — legalities, politics, economics and ethics are top of the list of concerns.

It was eloquently summed up by The Future Life Institute, which is made up of over 1,000 experts, in an open letter asking the industry to pause AI development, or risk humanity and society. LLMs are learning so much so fast, that we, as a species, haven’t had time to truly process the long term impact. Ethics are at stake.

Taking Responsibility is Urgent

I think it’s a responsible challenge. As I said before the headlines have provoked my own thinking to evolve and prompted me to consider whether such a warning could, should or even will stop our own industry from forging on.

This is where I think the application of AI must be balanced against the dilemma. Take the example of producing project documentation or new product technical summaries. Is using ChatGPT to create the first draft irresponsible or a boon for productivity, freeing up time for innovation in other areas? Similarly, with the introduction of ‘copilot’ tools, like Microsoft assistant, people can increase their productivity and have more time for other things, even just going to the gym. I can see how it could make a sustainable argument for a four day week and happier colleagues.

Can Conversational AI Help Our Industry?

Of course, in my world, the real advantage of introducing ML and AI is the ability to help customers find answers to the problems they face. Using conversational AI to mine a database of known and defined errors other businesses have encountered — be that on SAP or Google — would help practitioners arrive at answers far sooner and avoid a degradation in productivity.

The process would augment the value of the intelligence we aggregate and own and, as it’s a trusted source, accelerate decision making and the time to resolution (TTR). No human can realistically (nor would they want to) hold in their brain all the common problem scenarios and fixes.

I’ve tried to do this in my professional career, and though possible, it is exhausting. That’s why I believe, applying conversational AI to the common challenges our customers face would help highly qualified and skilled humans validate and implement the decisions they take.

I’d advocate that automating the interrogation of vast knowledge banks makes complete sense, especially when it helps skilled people get on with doing what they do best — running, managing, and developing world class ERP.

I should be clear that I am wedded to the notion that it’s important the wider industry runs the AI race in tandem with the ethics that protect humanity. We must thoroughly understand the implications at every point in development and put in place the checks, balances and regulation to ensure the values we hold dear are protected and enhanced, not obliterated.

In the world of AIOps there is real value to its adoption not least to ensure mission critical systems related to food supply or energy stay online. We must therefore consider the broad view of AI technology as well as our narrower domain. Only with a balanced view and appreciation of the accountability we assume as leaders, can we make the right choices.

John Appleby leads Avantra as the Chief Executive Officer. Before Avantra John served as the Global Head of DDM/HANA Center of Excellence at SAP and as the Global Head of SAP HANA solutions at Bluefin Solutions, subsequently acquired by Mindtree. John is a recognized thought leader in the SAP market and was part of SAP’s Mentors Group. John holds an MA in computer science from the University of Cambridge.

The post Does Conversational AI Have A Role to Play in AIOps? appeared first on My TechDecisions.

The Build conference comes as Microsoft becomes fully invested in Copilot, AI and Windows 11, with much of the announcements spanning across those product categories.

Windows Copilot for Windows 11

Microsoft has already unveiled Microsoft 365 Copilot to help workers be more productive while using Microsoft’s productivity tools such as Word, PowerPoint, Outlook and more. Now, the company is launching Windows Copilot, available in preview next month, which Microsoft calls the first PC platform to provide centralized AI assistance for users.

This comes along with Bing Chat and first- and third-party plugins to help users create complex projects and collaborate more efficiently across multiple applications. Windows Copilot, essentially a virtual assistant, can be invoked from the taskbar and will stay consistent across apps, programs and windows, Microsoft says.

In a blog, Panos Panay, Microsoft’s chief product officer of Windows and devices, says Windows Copilot makes every user a power user.

“The things you love about Windows – copy/paste, Snap Assist, Snipping Tool, personalization – they are all right there for you, along with every other feature on the platform, and they only get better with Windows Copilot,” Panay writes. “For example, you can not only copy and paste, but also ask Windows Copilot to rewrite, summarize or explain your content.”

Similar to ChatGPT, Bing Chat and other chatbots driven by large language models (LLMs), Copilot can be asked a range of questions.

Since the tool was announced during the Build developer conference, Microsoft says Windows Copilot gives developers new ways to reach and innovate for shared customers.

“We welcome you to be part of the Windows Copilot journey by continuing to invest in Bing and ChatGPT plugins so your investments will carry forward to Windows Copilot,” Panay writes.

Bringing the new Bing to ChatGPT, plugins

Microsoft is also bringing its new Bing to ChatGPT to act as the default search experience, giving ChatGPT users access to Bing’s search engine which will be built-in to provide additional information from the web.

This makes ChatGPT answers grounded by search and web data, with citations. ChatGPT Plus subscribers will first get access, and it will be rolling out to free users “soon” by enabling a plugin with brings Bing to ChatGPT, Microsoft says.

Additionally, Microsoft and ChatGPT creators OpenAI are making it possible for developers to use one platform to build and submit plugins that work across both consumer and business surfaces, including ChatGPT, Bing, Dynamics 365 Copilot, Microsoft 365 Copilot, and Windows Copilot.

As part of the shared platform, Bing is adding to its support for plugins by adding several others to the Bing ecosystem.

With Microsoft launching Windows Copilot and essentially bringing Bing Chat to Windows 11 in a “more robust way,” Microsoft says Windows Copilot and Bing Chat enable those plugins to be enhanced through applications on Windows.

Microsoft says it is also natively integrating the common plugin platform into Microsoft Edge.

Microsoft Fabric

Also as part of Microsoft’s announcements is Microsoft Fabric, a new unified platform for analytics that includes data engineering, data integration, data warehousing, data science, real-time analytics, applied observability and business intelligence connected to a single data repository called OneLake, the company says.

According to Microsoft, Fabric enables customers of all technical levels to experience capabilities in a single, unified experience. It is infused with Azure OpenAI Service at every layer to help customers unlock the full potential of their data, enabling developers to leverage the power of generative AI to find insights in their data.

Fabric also incldues Copilot, allowing customers to use conversational language to create dataflows and pipelines, generate code and entire functions, build machine learning models or visualize results, Microsoft says.

Other developer tools

Microsoft also announced Hybrid AI loop to support AI development across platform, and across Azure to client with new silicon support from AMD, Intel, Nvidia and Qualcomm. This builds on Hybrid Loop, which Microsoft launched at last year’s Build conference to enable hybrid AI scenarios across Azure and client devices.

Microsoft also announced Dev Home, which it calls a new Windows 11 experience designed to help developers be more productive and streamline workflows. The preview is available in the Microsoft Store now.

Read Microsoft’s blog for the full list of new developer tools.

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According to a study from enterprise automation software firm UiPath, employees largely view AI as a tool to help them do their jobs and relieve burnout as they are asking to do more with less.

Specifically, 60% of respondents to a UiPath survey say AI and automation can address burnout and job fulfillment, and 57% of employees view employers that use automation to help support employees and modernize operations more favorably that those that don’t leverage AI.

The New York City-based firm says 28% of employees report being asked to more work with less support as organizations reduce headcount in response to a looming economic recession. That is leading to 29% of workers globally reporting feelings of burnout.

Those feelings of burnout are felt more in younger generations, as 41% of Gen Z respondents and 34% of Millennial respondents reported burnout, compared to just 25% of Gen Xers and 16% of Baby Boomers. With those younger generations set to replace older generations and become business leaders, burnout levels could rise.

While companies like Microsoft, Google, UiPath and others have been presenting AI tools as a solution to burnout and helping workers be more efficient, some organizations have blatantly said that they plan to replace some jobs with AI, including BT and IBM.

Nevertheless, 60% of respondents say AI will help reduce burnout and help them do their jobs better, with younger generations reporting higher levels (69% of Gen Zers and 63% of Millennials, 51% of Gen Xers compared to 44% of Baby Boomers) of reception to AI-powered automation.

When asked what they want to change with the help of automation, 34% of respondents said they wanted more flexibility in their work environment, 32% said they want more time to learn new skills, and 27% said they want more time during the day to focus on critical tasks.

When it comes down to specifics, employees want automation tools to help with largely technical tasks, including analyzing data (52%); inputting data/creating datasets (50%); resolving IT/technical issues (49%); and running reports (48%), UiPath’s report finds.

In a statement, UiPath’s chief people officer Brigette McInnis-Day said workplace disruption and economic factors don’t have to result in employee burnout, and using AI and automation for some of that work can help.

“Businesses that deploy AI in an open, flexible, and enterprise-ready way are best positioned to attract and retain the types of employees that will help them thrive in an automation-first world,” McInnis-Day says. “Automation is a key differentiator for companies to attract and retain by empowering employees and driving engagement.”

The post Report: Employees Want AI, Automation to Help Alleviate Burnout appeared first on My TechDecisions.

According to OpenAI, the ChatGPT app syncs a user’s chat history across devices and integrates Whisper, the company’s open-source speech-recognition system, allowing users to prompt ChatGPT with their voices.

The mobile app also gives subscribers to ChatGPT Plus–OpenAI’s $20 subscription plan–exclusive access to GPT-4’s capabilities, early access to features and faster response times on iOS devices, the company says.

While the launch of the ChatGPT mobile app is beginning with iOS users, the company says an app for Android devices will be coming soon.

The iOS app offers essentially the same functionality as using ChatGPT from the OpenAI website, including instant answers, tailored advice, text generation, professional assistance and learning opportunities, the company says.

OpenAI will begin the rollout of the generative chatbot iOS app in the U.S., with expansion to additional countries to come in the following weeks.

“With the ChatGPT app for iOS, we’re taking another step towards our mission by transforming state-of-the-art research into useful tools that empower people, while continuously making them more accessible,” the company says in a blog post.

OpenAI’s release of the ChatGPT app for iOS comes amid a wave of new features and updates from OpenAI designed to make ChatGPT more secure and safe, including new data control tools and a teased business subscription package designed to give organizations more control over their data.

With this new way of accessing ChatGPT, organizations may need to further educate and train employees on the use cases and capabilities of ChatGPT and other generative AI, as well as enact other policies around its usage for business purposes as data security has become an issue.

Read our guide, “ChatGPT and Generative AI in the Workplace,” for more information on how to manage the use of ChatGPT and generative AI.

The post OpenAI Launches ChatGPT App for iOS appeared first on My TechDecisions.

Zoom is first launching this Claude AI chatbot integration with Zoom Contact Center, but has plans to bring it throughout the entire platform, including Chat, Meetings, Phone, Whiteboard and Zoom IQ.

According to Zoom, the videoconferencing and collaboration giant has a “federated approach” to AI that leverages its own proprietary AI models along with those from leading AI companies–such as Anthropic–and select customers’ models.

Zoom says this gives the company the flexibility to incorporate multiple types of models to provide the most value for customers’ diverse needs and allow them to be customized to perform better for a customer based on their specific needs.

According to Zoom, it plans to incorporate Claude and Anthropic AI throughout its Zoom Contact Center suite of tools, which includes Zoom Virtual Agent, Zoom Contact Center and Zoom Workforce Management.

The intended result is to elevate the quality of customer experiences through better self-service and the ability to accurately understand customer intent. Zoom says the AI-enabled suite of contact center solutions will help guide customers to the best resolutions and surface insights that managers can use to coach agents and improve productivity.

Zoom also plans to use Claude and other AI tools to provide the right resources to contact center agents to help improve customer service.

The San Jose, Calif.-based firm says the integrations come with an investment into Anthropic and Claude for an undisclosed amount.

Notably, Anthropic is also backed by a sizable investment from Google, with the news of the relationship coming in February as Microsoft began heavily investing in ChatGPT creator OpenAI and integrating the AI firm’s large language models into its own products and with the goal of integrating AI assistants and other tools across the Microsoft 365 suite.

In a statement, Smita Hashim, Zoom’s chief product officer, calls Anthropic’s Constitutional AI model “primed to provide safe and responsible integrations” for Zoom’s next-generation innovations.

“With Claude guiding agents toward trustworthy resolutions and powering self-service for end-users, companies will be able to take customer relationships to another level,” Hasim said. “Partnering with Anthropic also furthers our commitment to providing customers with our federated approach to AI, optimized to deliver outstanding customer experience outcomes. Additionally, with our investment, we are advancing leading-edge companies like Anthropic and helping to drive innovation in the Zoom ecosystem and beyond.”

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“The need to deliver provable value to the organization at scale is driving these trends in D&A,” said Gareth Herschel, VP Analyst at Gartner, in a statement. “Chief data and analytics officers (CDAOs) and D&A leaders must engage with their organizations’ stakeholders to understand the best approach to drive D&A adoption. This means more and better analysis and insights, taking human psychology and values into account.”

Gartner analysts presented the top 10 D&A trends that business and IT leaders must engage and incorporate into their D&A strategy at the 2023 Gartner Data & Analytics Summit.

Trend 1: Value Optimization

Most D&A leaders struggle to articulate the value they deliver for the organization in business terms. To achieve value optimization from an organization’s data and artificial intelligence (AI) portfolio, specific competencies such as value storytelling, value stream analysis, investment ranking and measuring business outcomes are required. D&A leaders should build clear links between their projects and the organization’s mission-critical priorities.

Trend 2: Managing AI Risk

The growing use of AI has exposed companies to new risks such as ethical risks. Managing AI risks is not only about being compliant with regulations. Effective AI governance and responsible AI practices are also critical to building trust among stakeholders and catalyzing AI adoption and use.

Trend 3: Observability

Observability is a characteristic that allows the D&A system’s behavior to be understood and allows questions about their behavior to be answered.

“Observability enables organizations to reduce the time it takes to identify the root cause of performance-impacting problems and make timely, cost-effective business decisions using reliable and accurate data,” said Herschel. “D&A leaders need to evaluate data observability tools to understand the needs of the primary users and determine how the tools fit into the overall enterprise ecosystem.”

Trend 4: Data Sharing Is Essential

Data sharing includes sharing data both internally (between or among departments or across subsidiaries) and externally (between or among parties outside the ownership and control of your organization). Organizations can create “data as a product,” where D&A assets are prepared as a deliverable or shared product.

“Data sharing collaborations, including those external to an organization, increase data sharing value by adding reusable, previously created data assets,” said Kevin Gabbard, senior director, analyst at Gartner, in a statement. “Adopt a data fabric design to enable a single architecture for data sharing across heterogeneous internal and external data sources.”

Trend 5: D&A Sustainability

According to Gartner, it is not enough for D&A leaders to provide analysis and insights for enterprise ESG (environmental, social, and governance) projects. D&A leaders must optimize their own processes for sustainability improvement. D&A and AI practitioners are becoming more aware of their growing energy footprint. As a result, a variety of practices are emerging, such as the use of renewable energy by (cloud) data centers, the use of more energy-efficient hardware, and the usage of small data and other machine learning (ML) techniques.

Trend 6: Practical Data Fabric

Trend 7: Emergent AI

ChatGPT and generative AI are the vanguard of the coming emergent AI trend. Emergent AI will change how most companies operate in terms of scalability, versatility and adaptability. The next wave of AI will enable organizations to apply AI in situations where it is not feasible today, making AI ever more pervasive and valuable.

Trend 8: Converged and Composable Ecosystems

Converged D&A ecosystems design and deploy the D&A platform to operate and function cohesively through seamless integrations, governance and technical interoperability. An ecosystem’s composability is delivered by architecting, assembling and deploying configurable applications and services.

With the right architecture D&A systems can be more modular, adaptable and flexible to scale dynamically and be more streamlined to meet the growing and changing business needs and enable evolution as the business and operating environment inevitably change.

Trend 9: Consumers Become Creators

The percentage of time users spend in predefined dashboards will be replaced by conversational, dynamic and embedded user experiences that address specific content consumers’ point-in-time needs.

Organizations can expand the adoption and impact of analytics by giving content consumers easy to use automated and embedded insights and conversational experiences they need to become content creators.

Trend 10: Humans Remain the Key Decision Makers

Not every decision can or should be automated. D&A groups are explicitly addressing decision support and the human role in automated and augmented decision making.

“Efforts to drive decision automation without considering the human role in decisions will result in a data-driven organization without conscience or consistent purpose,” said Herschel. “Organizations’ data literacy programs need to emphasize combining data and analytics with human decision-making.”

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The post Gartner’s Top 10 Data & Analytics Trends for 2023 appeared first on My TechDecisions.

The company’s Work Trend Index, an annual study of corporate work habits and how technology can help solve issues, analyzes trillions of aggregated productivity signals in Microsoft 365, along with labor market trends on LinkedIn, with past issues focusing on pandemic-era themes such as videoconferencing, distributed work and burnout.

With ChatGPT and generative AI capturing the attention of Microsoft and dozens of other enterprise tech firms, Microsoft used this year’s report to paint a picture of how AI can help solve today’s workplace issues, with burnout at the top.

What Microsoft’s Work Trend Index says about digital debt and burnout

The Redmond, Wash. tech giant’s Work Trend Index devotes an entire section of the report to worker burnout and how we just can’t keep up with the amount of work, data, emails, meetings and notifications.

According to the report, 64% of workers say they are struggling with having enough time and energy to do their jobs, and those same people are 3.5x more likely to also struggle with innovation and strategic thinking.

In addition, 60% of leaders are seeing those impacts play out, expressing concern with the lack of innovation or breakthrough ideas.

With organizations still adopting hybrid work models, the balance of work hours are spent communicating, leading to 68% of people saying they don’t have enough uninterrupted focus time during their workday.

Microsoft’s Work Trend Index includes collaboration patterns across Microsoft 365 from a rolling 28-day period ending in March, excluding weekends, that found that time spent in Teams Meetings, Teams Chat and email outweighs time spent in productivity apps such as Word, Excel, PowerPoint and OneNote by a margin of 57% to 43%.

What the 2023 Microsoft’s Work Trend Index says about AI’s capabilities

Microsoft opens this section of the report attempting to quell fears of AI replacing jobs, despite the fact that some organizations have openly said that they plan to replace jobs with AI, including IBM, which is eyeing about 7,800 jobs that can be replaced with AI. To that end, Microsoft’s Work Trend Index finds that 49% of people are worried that AI will replace their jobs.

However, Microsoft has positioned its Copilot tool as an AI assistant designed to help workers do their jobs rather than replace them, which makes sense when considering that 70% of workers told Microsoft that they would delegate as much work as possible to AI to help lessen their workloads.

Further, 76% would use AI for administrative tasks, 79% would use it for analytical, and 73% would use it for creative. In addition, users also want AI as a virtual assistant, with 86% saying they would leverage AI to help them find the right information, 80% would use it to summarize meetings and action items, and 77% would use it to plan their day.

Per Microsoft’s research, increasing employee productivity was the most popular answer to how AI in the workplace can benefit an organization at 31%, while reducing headcount was just 16%, the least popular response.

Other popular answers include helping employees with repetitive tasks, increasing employee wellbeing, eliminating time spent on low-value activities, enhancing employee capabilities, accelerating pace of work and several others.

Similarly, workers want tools that can help save them time, work smarter, and end information overload, per Microsoft’s annual study.

What Microsoft’s Work Trend Index says about necessary AI skills

Despite the clear desire for AI to help make workers more productive and stress-free, it’s not a simple plug and play, as Microsoft posits that workers will need to develop AI aptitude to realize the full benefits of the technology.wq

According to Microsoft’s research, users will need to understand when it is appropriate to leverage AI, evaluate accuracy and fairness of content generated by AI, and ask the right questions.

More than 80% of leaders told Microsoft that employees will need additional skills to be prepared for the growth of AI, and they’ll need to start doing so today, as there are 33 times as many LinkedIn posts mentioning topics such as generative AI and GPT than there were a year ago.

What Microsoft says organizations should do about AI

For productivity issues, Microsoft suggests organizations should identify productivity issues, rethink the workday as AI helps free up time, and encourage users to leverage AI-powered meeting recaps.

When it comes to actually leveraging AI, Microsoft recommends that business leaders proceed responsibly when rolling out AI tools, targeting low-hanging fruit first.

Similarly, organizations will need to educate employees on AI and help them embrace a new way of working, the company says.

Read Microsoft’s 2023 Work Trend Index for more information.

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