Tag: ERP

As we close out 2024, the pace of data visualization innovation will continue to accelerate. For B2B businesses, the ability to transform complex data into actionable insights is now a necessity rather than a luxury. Central to this evolution is Artificial Intelligence, which is reshaping dashboards and data visualizations to enable organizations to make faster, more impactful decisions. Looking ahead, 2025 is set to be a defining year for large language models (LLMs), real-time analytics, and advanced machine learning algorithms that will elevate AI-driven data visualizations. Here’s a toolkit and strategy guide to make your data dashboards shine while preparing you for the future.

The Evolution of Data Visualization: From Static to Smart

In 2024, data visualization has advanced from static, traditional dashboards to dynamic, AI-driven dashboards capable of generating real-time insights. Organizations are moving beyond basic charts and graphs, leveraging machine learning and AI tools for visualizations that predict needs, offer personalized data views, and integrate seamlessly with business operations.

This shift enables real-time, accurate, and accessible data visualizations. AI allows for automated insights, with natural language generation (NLG) tools simplifying complex data for easier comprehension. Organizations now have interactive, customizable dashboards featuring KPIs, trends, and forecasts that are quick to interpret and act on.

Building Your 2024 AI Data Visualization Toolkit

As 2025 approaches, companies need AI-powered tools to create advanced data dashboards. Here’s what should be in your toolkit for exceptional visualizations:

Real-Time Data Processing and Analysis Tools

Real-time data is now central to decision-making, allowing companies to bypass weekly or monthly reports for immediate insights. In 2024, AI engines process live data streams instantly, enabling faster, more responsive actions. Enhanced platforms like Power BI, Tableau, and Looker now perform real-time analyses on live data, detecting anomalies, identifying key insights, and even suggesting actions. This agility boosts customer experiences, optimizes operations, and supports rapid, insight-driven decisions.

Predictive Analytics and Forecasting Algorithms

Predictive analytics, powered by machine learning and AI, enhances an organization’s ability to anticipate trends. By analyzing historical patterns, AI-enabled dashboards forecast behavior, sales fluctuations, and potential market shifts. As 2025 approaches, forecasting with AI is becoming critical. Tools like Google Analytics, IBM Watson, and Microsoft Azure employ powerful algorithms to deliver data-driven predictions, such as forecasting customer demand or predicting churn. AI-driven forecasting enables organizations to stay ahead of changes rather than reacting to them.

To Know More, Read Full Article @ https://ai-techpark.com/2025-ai-data-visualization-toolkit-for-b2b/

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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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Have you encountered a bad situation that was made worse by something that is meant to help? Here’s a recent example of mine – I had to take my son to an emergency room while vacationing in Asia but the most frustrating part was dealing with insurance when we got home. The agent who initially processed my claim put me (and my money) in limbo – no external or internal follow-up communication, inaccessible and invisible in the client portal – because they didn’t follow the process for handling non-English documents. This poor customer service was entirely preventable and, though I’m not an insurance industry expert, I’m going to tell you how.

I started this article with my personal experience because all service providers need to consider customer impact when designing their AI adoption. Unfortunately for me, health insurance is a relatively inelastic service. The insurance company – let’s start to see ourselves in their position now – has many customers locked in for the year irrespective of individual satisfaction. It also means that customer acquisition is relatively fixed. Insurance companies are not alone in having profit margins that are won and lost in processes. They’re also not alone in having a customer base that includes stubborn engineers who will spend above-average time investigating problems to discover a root cause (hi, that’s me). Even though I can’t switch medical insurance, the original agent’s mistakes followed by my persistence led to an undesirably high touch time for the insurance company (getting personal again, I digress…)

Whether your organization manages insurance claims, manufactures automotive components, or facilitates the food and beverage supply chain, profitability is influenced by how well your people, processes and systems are harmonized. Fortunately, some of the up-and-coming solutions embedded with AI have started to measurably improve the balance with people, processes and, ultimately, profit. One of the solutions with a high yield potential from relatively low effort is called Process Mining. Gartner defines it as “a technique designed to discover, monitor and improve real processes (i.e., not assumed processes) by extracting readily available knowledge from the event logs of information systems”. What gives process mining the potential for high yield with low effort is that it leverages information that your business processes already generate but traditionally ignore outside of IT troubleshooting. Process mining users are provided with unprecedented visibility of process flows and deviations. Analysis of those deviations turns into data-driven continuous improvement with the possibility of incorporating process improvements that were already proven through execution even though they weren’t pre-planned.

To Know More, Read Full Article @ https://ai-techpark.com/ais-role-in-process-mining/

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Unanet, the leading provider of project-based enterprise resource planning (ERP) and customer relationship management (CRM) for the government contracting (GovCon) industry, today announced Vidoori is a new Unanet ERP GovCon customer. Unanet will replace Vidoori’s off-the-shelf software as the company prepares for significant growth.

Vidoori, based in Hyattsville, Maryland, provides software testing, development, security assessment, and operations support (DevSecOps) for commercial clients and Federal agencies such as the United States Census Bureau. As the company prepares for exponential growth in the future, it recognized that its off-the-shelf, disparate software, which required multiple manual processes, could not provide the modern, integrated, efficient solutions they need.

Vidoori conducted a thorough assessment of software systems. What ultimately sold the team was the feedback from several industry peers in similar stages of growth who had onboarded other legacy software and ended up switching to Unanet as a better solution to grow their business.

Read Full News @ https://ai-techpark.com/vidoori-upgrades-to-unanet-erp-govcon-to-prepare-for-growth/

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Business in a dynamic environment no longer considers data a luxury; it’s the fuel that makes wise decisions and drives business success. Imagine real-time insights at your fingertips regarding your customers or the ability to identify operational inefficiencies buried in data sets. Be empowered to drive growth by making data-driven decisions that enable you to optimize marketing campaigns and personalize customer experiences.

However, unlocking this potential is where many of the SMBs struggle. Traditional data analytics solutions often come with fat price tags, thereby positioning themselves beyond companies with limited resources. But fear not! That doesn’t mean it has to be a barrier to entry into the exciting world of data-driven decision-making.

What are data democratization and self-service analytics?

Data democratization means extending access to organizational data to all employees, regardless of their technical nature. It essentially rests on the very foundation that the availability of data should be such that everybody in the entity can get access to information for making decisions and creating a culture that is transparent and collaborative in nature.

Self-service analytics involves tools and platforms that allow users to perform analysis on their own, outside the IT department. They are designed to be user-friendly enough for people in other functions within a company to generate reports, visualize trends, and extract insights on their own from any data they may want.

For small and medium-sized businesses, the benefits that come from data democratization and self-service analytics are huge:

Empower Employees to Make Data-Driven Decisions:

Arm workers at all levels with the ability to make more informed decisions that will have improved outcomes and innovative implications by providing them with relevant data and the proper tools with which to analyze it.

Improve Operational Efficiency:

Much of this IT bottleneck is removed through self-service analytics, improving operational efficiency and increasing decision-making at high speeds.

Gain Insights from Customer Data:

With data democratization, SMBs can get a closer look at customer behavior and preferences to ensure better customer experiences and focused marketing.

Basically, data democratization and self-service analytics democratize the power vested in data to drive efficiency, innovation, and growth within SMBs.

To Know More, Read Full Article @ https://ai-techpark.com/data-democratization-and-self-service-analytics/ 

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In the ever-evolving landscape of technology, the rise and implementation of hybrid cloud computing solutions have become pivotal in reshaping the future of IT infrastructure. As large-scale businesses strive to increase efficiency, reduce latency, and enhance stability, IT professionals adopt this dynamic technology. Cloud technologists believe hybrid clouds may be better for operational efficiency, security, faster application development, improved business insights, and better resiliency.

Let’s take a closer look by understanding the hybrid cloud with a few examples, its key benefits, and its importance in implementing a hybrid cloud in businesses.

What are Hybrid Cloud?

A hybrid cloud is an amalgamation of different cloud computing environments, like public cloud and private cloud infrastructure, which helps organizations compute, network, and store resources in various cloud worlds according to their needs. IT professionals define hybrid cloud computing as flexible as it helps businesses have the autonomy to choose where the data can reside based on performance, compliance requirements, and security.

Let’s take a look at a few examples of where hybrid cloud computing can be implemented:

Several examples emphasize the versatility of implementing hybrid cloud computing in business. For example, a healthcare organization can securely store its patient records and other confidential reports on its private cloud while using the public cloud for hosting websites. Similar to e-commerce companies, utilize a hybrid cloud model to handle peak traffic during holiday sales without compromising customer data security.

Furthermore, the adoption of a hybrid cloud model fosters innovation, which empowers organizations by leveraging legacy systems and modern technologies. Here are some best practices that will help businesses adopt this cloud model:

Best Practices for Hybrid Cloud Adoption

Comprehensive Cloud Strategy

Businesses should develop a comprehensive hybrid cloud strategy that aligns with their business objectives which encompass workload assessment, cloud provider selection, compliance measures, data management, and security protocols.

Robust Governance and Monitoring

Implementing robust governance frameworks and a continuous monitoring process is crucial, which includes tracking resource usage, ensuring compliance, managing costs, and enforcing security policies across all cloud environments.

Employee Training and Skill Development

The successful adoption of the hybrid cloud model requires a skilled workforce qualified to manage complex cloud infrastructure. So organizations should invest in training employees and enroll them in skill development programs to equip them with the necessary expertise in the hybrid cloud model.

To Know More, Read Full Article @ https://ai-techpark.com/power-of-hybrid-cloud-computing/

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What would be your valuable advice for budding entrepreneurs and industry professionals?

To budding entrepreneurs and industry professionals, I offer this valuable advice: place a profound emphasis on your customers. Cultivate an obsession with understanding them on a deep level. Dive into the intricacies of their challenges, and endeavor to craft solutions that precisely address these issues.

An important lesson to remember is to avoid the common pitfall of creating solutions in search of problems. This sounds funny but it is surprisingly common. Instead, start by identifying genuine problems within the market. Let these authentic needs guide your innovation, ensuring that your efforts are purpose-driven and aligned with real-world demands.

By prioritizing your customers’ needs, adopting a problem-first approach and consistently refining your offerings based on feedback, you can forge a path to success that is both impactful and sustainable.

Could you elaborate on the key strategies or actions you have implemented or plan to implement?

Regarding our key strategies and actions, we’re actively expanding our team in both research and development, as well as in customer-facing roles. This growth is instrumental in enhancing our capabilities and ensuring effective support for our clients.

A pivotal focus is on the introduction of comprehensive end-to-end solutions. These solutions are strategically designed to empower customers to swiftly achieve results using our deviceWISE platform. By streamlining the adoption process, we’re enabling clients to accelerate their journey towards IoT integration and maximize the benefits of our technology.

Furthermore, we’re deeply committed to harnessing the potential of Artificial Intelligence (AI) as a transformative force for industrial productivity. Our investment in AI technology underscores our belief in its capacity to revolutionize operations and enhance efficiency in the industrial landscape. This commitment drives us to develop and deliver unique AI-driven products that stand at the forefront of innovation.

A recent milestone includes the launch of our “connected machine offer.” This pioneering solution empowers machine builders with a comprehensive turnkey package for delivering connected machines. This offering opens doors for machines-as-a-service models, remote support capabilities and an array of additional functionalities, thereby enabling our clients to stay ahead in the competitive market.

In essence, our strategies encompass team expansion, holistic end-to-end solutions, AI integration and innovative product launches.

Please share your source of inspiration for exploring various facets of technology.

My source of inspiration for exploring various facets of technology stems from a profound curiosity about the boundless possibilities that technology offers to reshape and elevate our world. The rapid evolution of technology has the potential to revolutionize industries, enhance human experiences, and solve complex challenges.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-ricardo-buranello/

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