Tag: Artificial Intelligence

The advent of AI-powered adaptive commerce is transforming B2B e-commerce for enterprises across various sectors. Beyond merely enhancing customer insights or product recommendations, AI is now driving a new approach that blends physical and digital realms—often referred to as “phygital.” By integrating AI into physical environments, B2B e-commerce firms are crafting seamless and engaging shopping experiences that bridge online and offline spaces. Here’s how AI-driven physical technology is disrupting B2B e-commerce, along with tips based on our experience.

The Rise of Phygital Experiences in B2B E-Commerce

With the rapid rise of digital transactions, B2B companies are now adapting to meet the needs of clients who value both online convenience and tangible engagement. Phygital technology combines digital interfaces and AI-driven data with physical touchpoints, offering an integrated experience. Industries such as manufacturing, retail, and wholesale are especially suited for phygital solutions, as buyers often prefer to inspect products firsthand. For example, AI-AR and AI-VR tools allow B2B firms to offer virtual product interactions, giving clients a hands-on experience even if they’re not physically in a showroom.

How AI Drives Phygital Transformation

AI plays a crucial role in creating phygital experiences, providing insights that seamlessly integrate digital and physical interactions. Here’s how AI contributes to various aspects of phygital solutions:

Predictive Analytics for Personalization: Machine learning processes vast amounts of customer data, enabling B2B firms to deliver relevant recommendations. AI can personalize in-person experiences by presenting tailored information when customers visit a showroom or virtual demo.

Real-Time Data Integration: Phygital experiences require interoperability between digital and physical realms. AI consolidates data across sources to ensure up-to-date information on stock, pricing, and offers is available to both online and in-store customers.

Enhanced Customer Service with Chatbots and Virtual Assistants: Digital assistants and chatbots answer customer questions and guide them in making informed purchases. These can be deployed online or at physical kiosks to provide consistent support.

As AI technology continues to advance, phygital experiences in B2B e-commerce will reach new heights. Future innovations, like generative AI for enhanced virtual assistance and IoT for deeper digital-physical integration, promise even more robust phygital solutions. Companies that embrace these advancements early will likely achieve a competitive edge, offering unprecedented levels of customer satisfaction and convenience. Ultimately, the future of B2B e-commerce lies in balancing the tangible engagement of traditional sales with the efficiency of digital platforms. Phygital technology, supported by AI, will boost client satisfaction, drive sales, and streamline operations—ushering in a new era for B2B e-commerce.

To Know More, Read Full Article @ https://ai-techpark.com/revolutionizing-e-commerce-with-phygital-technology/

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Danielle, you have an impressive background in both academia and professional services. Could you start by sharing your journey and what led you to your current role at Caseware as VP, Head of Analytics and AI?

My journey to my current AI and analytics role at Caseware hasn’t been typical, but it has given me the perfect balance of expertise to understand our customers, who are auditors and accountants looking to use technology to improve their daily workflows. At the beginning of my career, I followed my mother’s advice to take an accounting class in college. She insisted that understanding financial matters was crucial, no matter what career path I chose.

Once I entered the accounting world, I followed a fairly traditional career path. I also went on to earn a Master of Science in Accountancy from the University of Virginia. However, I found that while I can understand and work within traditional accounting frameworks, I also bring a different, non-linear approach to problem-solving, which ultimately led me to the world of software, analytics, and AI within the accounting industry.

My ability to bridge the gap between traditional accounting and innovative technologies has definitely positioned me well for my current leadership role at Caseware, and I am enjoying leveraging both my accounting expertise and my unconventional thinking to drive advancements in analytics and AI for our customers.

AI is transforming many industries, but why do you believe professional services, particularly audit and accounting, are uniquely positioned to benefit from AI advancements?

Our profession is highly regulated with an exceptionally high expectation for precision. This has historically made it difficult to adopt new technologies, as we can’t afford to ‘fail fast’ in auditing. The complex, judgment-intensive tasks we perform are not conducive to automation through previous technological innovations. As a result, the accounting profession has often been perceived as a technology laggard, not due to unwillingness, but because of the stringent requirements for reliability and accuracy in our work.

Generative AI represents a fundamental shift. Unlike previous technologies that focused primarily on automation, generative AI is designed to work alongside humans to enhance our capabilities rather than replace them. This aligns well with our existing processes, which already incorporate extensive human review and validation.

What are some common misconceptions about AI in the context of professional services, and how can these be addressed?

AI, like human professionals, isn’t perfect, and that’s why it’s essential to have a robust review process in place. The misconception that all AI is a ‘black box’ and therefore is categorically unusable is simply not true. Standards, including new International ethical guidelines, recognize the potential of AI and provide frameworks for responsible use. It’s not about avoiding AI entirely, but rather about ensuring proper oversight and validation to make the most of its capabilities to underpin the stability of markets in the best way we can.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-danielle-supkis-cheek/

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The healthcare sector is undergoing rapid transformation, driven by a deeper understanding of patient needs and the adoption of cutting-edge technologies. At the forefront of this evolution are digital biomarkers and AI/ML, which serve as critical enablers of next-generation healthcare solutions. This paper examines the historical development, impact, and future trajectory of these technologies to explore how they are reshaping the modern healthcare ecosystem.

The Evolution of Biomarkers in Healthcare

Traditionally, biomarkers have played a crucial role in diagnosing diseases, predicting their progression, and evaluating treatment responses. Conventional biomarkers, such as blood tests and imaging, paved the way for the digital evolution of healthcare.

Digital biomarkers utilize technology for real-time data collection and analysis, offering more dynamic insights into health trends. With the widespread adoption of wearable devices and mobile health apps, digital biomarkers are becoming essential tools in patient care, revolutionizing how health professionals monitor and manage individual well-being.

Understanding Digital Biomarkers: A Comprehensive Approach

Definition and Classification

Digital biomarkers refer to objective, measurable physiological or behavioral data captured through digital tools. These markers can range from simple metrics, like daily step counts, to more complex indicators, such as heart rate variability measured through wearables. Unlike traditional biomarkers, which rely on lab tests, digital biomarkers offer real-time insights into a patient’s health status.

Types of Digital Biomarkers

Wearable Device Biomarkers: Smartwatches and fitness trackers measure activity levels, sleep quality, and heart rate.

Electronic Health Records (EHRs): Incorporating digital biomarkers into EHRs enables long-term tracking, improving care coordination and outcomes.

Mobile Health Applications: These apps monitor health metrics and provide personalized recommendations, fostering greater patient engagement.

Integrating Digital and Traditional Biomarkers

The integration of digital biomarkers with traditional ones, such as genetic data, offers a comprehensive view of patient health. For instance, combining genomic insights with wearable data allows healthcare providers to identify risk factors early, enabling timely interventions and personalized care.

To Know More, Read Full Article @ https://ai-techpark.com/digital-biomarkers-ai-ml/

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For anyone who’s embraced the open road, there’s a special kind of freedom in embarking on a journey where the destination is just one part of the adventure. Road trip gummies are all about exploring new landscapes, soaking in the sights, and sometimes taking the path less traveled. Yet, while the experiences are enriching, long drives and unpredictable routes can be both physically and mentally demanding. The Traveler’s Choice: Road Trip Mushroom Gummies have emerged as a reliable companion for travelers looking to enjoy the ride with a bit more energy, focus, and well-being.

Mushroom gummies, once a niche wellness trend, have become a travel essential thanks to their numerous health benefits. They’re packed with functional mushrooms like lion’s mane, reishi, and cordyceps, each known for unique properties that promote mental clarity, sustained energy, and stress relief. Lion’s mane, for instance, is often referred to as the “brain mushroom” for its cognitive-supporting properties, helping travelers maintain sharpness on extended drives or when navigating new routes. Meanwhile, cordyceps are known for promoting stamina, an ideal choice for anyone looking to avoid the crash that comes from sugary snacks or heavy caffeine use. These mushrooms, combined in a convenient gummy form, make it easy to fuel up on the go, whether it’s early in the morning before setting out or as an afternoon pick-me-up to stay alert.

Road trip snacks have traditionally been centered around convenience, but few options provide genuine nourishment without added sugars, preservatives, or artificial ingredients. Road Trip Mushroom Gummies are crafted with all-natural, plant-based ingredients, making them a healthier alternative to the usual gas station fare. Their chewy, sweet texture provides a satisfying snack experience, and they come in a variety of flavors that give them a delightful, fruity appeal. Imagine enjoying a tangy berry gummy that packs a powerful wellness punch while reminding you of the forests and trails you may be passing along the way. Unlike typical travel snacks, these gummies are not only delicious but packed with ingredients that work harmoniously with the body, offering functional support without weighing you down.

Another benefit of these road trip mushroom gummies is their portability and versatility. Packaged in a small, travel-friendly container, they’re easy to store in a glove compartment, backpack, or pocket, making them accessible whenever you need a quick boost. Their compact size means they’re great for those who like to travel light, and unlike powders or supplements that require water or preparation, gummies can be enjoyed straight out of the package. For anyone on a tight schedule, facing unpredictable travel conditions, or simply wanting to make the most of their stops, these gummies offer a fuss-free wellness solution that’s ready when you are.

Artificial intelligence (AI) is a relatively new field that has rapidly evolved into a major influence on the strategic direction of organizations. Its significance extends far beyond automation, enhancing complex decision-making processes. AI is both a risk and a tool for managing risk—a paradox that organizations must confront as they navigate the landscape of 2024 and beyond.

AI as a Catalyst for Transformation

While AI is often associated with task automation, it also plays a critical role in improving decision-making. AI empowers change across various domains, from social to informational, by automating time-consuming processes and driving efficiency. Additionally, AI offers deeper insights to management teams than ever before.

In finance, for example, AI models outperform traditional methods by evaluating a broader set of factors to assess credit risk, predict market trends, detect fraud, and identify optimal investments. Similarly, in healthcare, AI enables early diagnosis and increases diagnostic accuracy, transforming how medical treatments are managed. These examples demonstrate that AI not only mitigates risks but also reshapes operational behavior, opening new avenues for efficiency and effectiveness.

Machine Learning’s Role in Enterprise Risk Management

Machine learning—one of the most crucial AI fields—plays a vital role in Enterprise Risk Management (ERM). By learning from data and detecting patterns beyond human observation, machine learning is particularly useful in industries like cybersecurity, where threats are constantly evolving. AI systems also monitor network activities in real-time, providing alerts for suspicious events to prevent breaches.

According to Gartner’s 2024 report, companies leveraging AI-based risk management tools saw a 30% reduction in data breach incidents. This statistic emphasizes AI’s ability to prevent risk events. Moreover, as data protection laws become stricter, AI helps organizations maintain compliance through precise monitoring and reporting mechanisms.

The dual role of AI as both a risk and a risk management tool defines the modern business landscape. Organizations that recognize AI’s strategic value and incorporate it into their planning will be well-positioned to thrive. The improvements in decision-making, efficiency, and risk forecasting that AI offers are too significant to ignore.

However, these opportunities come with responsibility. Companies must adopt ethical AI practices and ensure robust data protection to avoid negative societal impacts. Failure to address these issues could have serious consequences, not only for businesses but also for society as a whole.

Ultimately, the question is not whether to adopt AI but how to implement it sustainably and responsibly. Leaders with a vision for ethical AI usage will not only mitigate risks but also unlock new opportunities previously beyond reach. As business environments continue to evolve rapidly in 2024 and beyond, organizations that fail to adapt will fall behind. Integrating AI as both a tool and a mandate is essential for any innovative organization looking to succeed.

To Know More, Read Full Article @ https://ai-techpark.com/ai-is-both-a-risk-and-a-tool/

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The rise of artificial intelligence (AI) has transformed many sectors across the business landscape, reshaping how organizations operate. However, the convenience of AI introduces environmental challenges, such as increased energy consumption and hardware waste. These unintended consequences call for thoughtful strategies from chief information officers (CIOs), who must balance technological advancements with sustainability goals.

According to a Gartner survey, environmental issues are now a top priority for tech companies, and CIOs are facing pressure from executives, stakeholders, and regulators to implement sustainability initiatives. The convergence of AI and environmental responsibility requires proactive measures that can drive sustainable transformation.

This article offers a framework for adopting green algorithms—energy-efficient AI solutions—to help CIOs build sustainable IT organizations.

AI Supporting Environmental Sustainability

To integrate sustainability into IT operations, CIOs must establish clear mandates and requirements to track sustainability metrics, such as energy consumption and carbon footprint. The effectiveness of these efforts depends on embedding sustainability KPIs into the organization's digital infrastructure.

A practical example lies in modern data centers. Advanced optical networks, which use fiber cables, are significantly more energy-efficient than copper-based networks. Fiber cables require fewer raw materials and less manufacturing energy, reducing the environmental impact compared to the extraction and refinement processes for copper. In fact, IT companies implementing modern networking technologies have reported up to fourfold reductions in their environmental footprint.

While AI can introduce environmental challenges, it holds tremendous potential to advance sustainability initiatives when used thoughtfully. CIOs and project managers play a pivotal role in designing and implementing AI-driven solutions that align with sustainable development goals.

By focusing AI efforts on the right use cases, businesses can mitigate environmental impacts, enhance operational efficiency, and reduce unnecessary costs. AI has the potential to become a powerful ally, fostering both innovation and environmental responsibility in the IT industry. With proactive strategies, the convergence of AI and sustainability can transform the future of business.

Know More, Read Full Article @ https://ai-techpark.com/the-convergence-of-ai-and-sustainability-in-the-it-industry/

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As the world navigates through 2024, cybersecurity gets more unpredictable and dangerous. With increased sophisticated cyberattacks like ransomware, phishing, and APTs, there has never been a higher demand for cybersecurity professionals. But after the rising tide, the industry stands at a significant skills gap, presenting organizations with vulnerabilities to breaches and data theft.

Following a report by ISC², there is a lack of more than 3.4 million cybersecurity workers across the world. The gap becomes an important threat to diverse organizations, majorly finance, healthcare, and technology-related businesses that are more vulnerable to cyber attacks. As we head to the future, B2B businesses need to invest in the next generation of cybersecurity talent and equip them with crucial knowledge and skills to offer sensitive data and systems protection.

This is your roadmap for the business to educate professionals in cybersecurity across all types of skills with education and strategies to create the best plan of workforce development.

The Growing Need for Cybersecurity Talent in 2024 and Beyond

Current Workforce Shortage

Business operations in almost every corner of the globe are being adversely affected by a severe challenge: an acute shortage of cybersecurity professionals. According to Cybersecurity Ventures, by 2025, cybercrime will reach $10.5 trillion in annual damages worldwide, representing an even greater need for experts in that field. There are not enough trained professionals to fill such a high demand. This presents a challenge to businesses, particularly those sectors dealing with sensitive data, such as healthcare, government, and finance.

Evolving Threats

The 2024 threat landscape is not only about malware and phishing schemes. Organizations are becoming increasingly subjected to more advanced attacks, like ransomware-as-a-service (RaaS), attacks by nation-state entities, and supply chain attacks—all of which make much greater technical capability demands than traditional IT knowledge requires. It is thus crucial to train professionals who can predict the magnitude of new threats.

The Role of New Technologies

Emerging technologies such as artificial intelligence (AI), machine learning (ML), and cloud computing are impacting the cybersecurity sector with new vulnerabilities; therefore, professionals have to become adept at securing these systems; thus, the urgency for cybersecurity knowledge coupled with cutting-edge tech becomes highly integral in the future workforce.

To Know More, Read Full Article @ https://ai-techpark.com/preparing-the-next-generation-of-cybersecurity-professionals/

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We live in an age where personalization is key to our experiences, from music and web series to the products and services we use, all tailored to us based on data collected by websites and apps. This capability helps us better understand our needs and improve our overall quality of life.

Similarly, in the healthcare sector, technologies like artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) allow us to monitor our health and receive personalized treatments. Often referred to as AI in healthcare, this technological collaboration is transforming traditional patient care by introducing futuristic clinical and administrative solutions. Doctors, researchers, and healthcare providers are using these advanced tools to enhance healthcare delivery in areas such as preventive care, disease diagnosis and prediction, treatment plans, and administrative tasks.

AI in healthcare is also making strides in recruitment, allowing companies to contribute more effectively to consumer health. The growing use of AI in wearable devices and medical tools is particularly valuable for detecting early-stage heart diseases. These AI-powered sensors and devices enable healthcare professionals to monitor and identify life-threatening conditions at an early stage.

While there are many applications for AI in healthcare, this article will focus on how AI is currently being implemented and what the future holds for healthcare policies in this sector. The concept of patient-centric care is a driving force behind AI-powered prescription medicine, which enhances personal treatment by empowering patients and providing real-time, visual care.

Key Areas of AI in Healthcare

The integration of AI in healthcare is transforming modern healthcare systems, enabling them to diagnose and treat diseases with greater speed and accuracy. These advancements are improving care quality and creating more patient-centered healthcare processes. AI's key focus areas include improving care delivery, strengthening disease surveillance, and accelerating drug discovery.

The future of AI in healthcare holds vast potential to shape public and private health policies. By prioritizing education and training and adopting AI responsibly, leaders in the health tech industry can unlock the full potential of AI, creating innovative, long-lasting solutions to the complex challenges facing healthcare today.To Know More, Read Full Article @ https://ai-techpark.com/ai-in-healthcare/ 

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Picture a world where your professional services business operates like a well-oiled machine, effortlessly balancing resources, predicting project outcomes, and communicating with precision. This isn’t a far-off dream—it’s the reality that Artificial Intelligence (AI) is bringing to the professional services industry right now. As the lines between human expertise and technological capabilities blur, AI is emerging as the secret weapon for firms looking to surge ahead in a fiercely competitive market.

By leveraging AI-powered Professional Services Automation (PSA) software, firms can optimize resource allocation, enhance governance, and streamline communication processes. Let’s explore how AI can revolutionize three key areas of professional services operations.

Intelligent Resource Management

One of the most significant challenges faced by professional services firms is effective resource management. AI-powered solutions can provide unprecedented insights and automation in this critical area:

Optimizing Team Utilization

AI algorithms can analyze historical project data, current workloads, and upcoming commitments to balance the workload across team members. This ensures that no individual is overworked while maximizing overall team productivity. By continuously monitoring utilization rates, AI can alert managers when team members are approaching burnout or when there’s capacity for additional projects.

Forecasting and Capacity Planning

Predictive AI models can forecast resource requirements for upcoming projects based on past performance data and project characteristics. This allows firms to anticipate staffing needs, plan for hiring or training, and make informed decisions about taking on new projects. AI can also help identify potential resource conflicts well in advance, giving managers time to reallocate resources or adjust timelines.

Skill Matching and Project Staffing

AI can analyze the skill sets of available resources and match them with the requirements of incoming projects. This ensures that the right people with the right expertise are assigned to each project, improving project outcomes and client satisfaction. Additionally, AI can identify skill gaps within the organization and suggest upskilling opportunities to prepare teams for future high-stakes projects.

Profitability Analysis and Pricing Optimization

By analyzing PSA tool data, AI can uncover patterns in project profitability across different types of engagements, clients, or project phases. This insight allows firms to identify which areas of their business are most profitable and which may be losing money. AI can then suggest optimal pricing strategies for different types of projects or clients, helping firms maintain a healthy balance between competitive pricing and profitability.

To Know More, Read Full Article @ https://ai-techpark.com/revolutionizing-professional-services-with-ai/

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How AI avatars are transforming customer service in business

What hasn’t AI transformed? Many business fields have evolved in recent years thanks to the tools that Artificial Intelligence has provided, one of them is customer service, through the use of AI avatars.

This is a new way in which companies are interacting with their public, trying to be more efficient and sophisticated in their processes. AI avatars are a very interesting figure in this transformation of customer service, as they have allowed companies to interact with their customers in a more personalized and efficient way than ever.

These virtual assistants are equipped with natural language processing and machine learning technology, which has redefined the customer experience by providing faster responses, solving problems more accurately, and even anticipating potential customer needs.

In this article we will delve deeper into the topic of AI avatars, how they are changing the rules of the game in customer service and what they bring to today’s modern companies.

Let’s start with the basics: What is an AI avatar?

When we talk about an AI avatar, we refer to the virtual, dynamic and animated representation of a person through Artificial Intelligence to interact with users in an automated and personalized way.

These avatars have the ability to simulate a human conversation, answer questions, provide assistance and solve problems, without the need for direct human intervention.

The digital avatar market is growing considerably

Everything indicates that the strategy of digital avatars is not a passing fad but is here to stay and grow constantly. According to a report by Spherical Insights, the global digital avatar market size is expected to reach $283.47 billion by 2032, a clear sign that businesses are increasingly investing in this tool.

“Technological advances in 3D modeling, animation and rendering result in increasingly realistic and visually appealing digital humans. Conversations become more attractive and closer because these avatars can look very similar to humans,” they noted in another report from the Market Research Future portal.

In this report they also indicate that the main market that uses AI avatars is North America, driven by the launch of new products and expansions of others, which has increased the need for this virtual assistance. Likewise, the Asia-Pacific region is the fastest growing region in terms of AI avatars, which is very promising for the immediate future.

To Know More, Read Full Article @ https://ai-techpark.com/transforming-customer-service-with-ai-avatars/

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