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Preferencias navideñas

Le preguntan a un hombre: - ¿Usted qué prefiere, el sexo o la Navidad? - La Navidad. - ¿Y por qué? - Bueno, porque ocurre más a menudo. ))))))))))) presentado por https://descuentos.guru/abbyy

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Seven Trends to Expect in AI in 2025

New Post has been published on https://thedigitalinsider.com/seven-trends-to-expect-in-ai-in-2025/

Seven Trends to Expect in AI in 2025

Another year, another investment in artificial intelligence (AI). That has certainly been the case for 2024, but will the same momentum continue for 2025 as many organizations begin to question its ROI?

According to most analysts, the answer is an overwhelming yes with global investment expected to surge by around a third in the coming 12 months and continue on the same trajectory until 2028. However, while budgets may be increasing, I see a more caution approach in 2025 with companies becoming discerning about the type of technology they need, and more importantly, if it can overcome specific real life business challenges.

With that said, here are some of my predictions for 2025:

1. Better Analysis Before Taking the Plunge

With more emphasis on improved ROI, businesses will be turning to AI itself to ensure they are spending wisely. One of the biggest problems to date is the haste to “jump on the bandwagon” especially since the introduction of generative AI and LLMs. In fact, as many as 63% of global business leaders admit their investment in AI was down to FOMO (fear of missing out), according to a recent study. This is why a data driven approach is essential.  Following on agentic automation, cognitive process intelligence will focus on providing deeper context around business operations, essentially giving  AI the capability to act as an operational consultant. These systems will be able to map, analyze, and predict complex workflows within an organization, then recommend improvements based on real-time data analysis and past patterns, beyond simple task automation. This will appeal especially to sectors like finance, logistics, and manufacturing, where even minor improvements in operations will translate into significant cost savings. 

2. The AI-First Era Renews Interest in BPM

A new golden age of business process management (BPM) is on the horizon. Not since the 1990s, when the emergence of enterprise resource planning (ERP) sparked widespread digitization, have companies needed to revisit how they operate to stay competitive. Two factors are driving the change. First, companies realize that growth at all costs is not sustainable with a shift toward performance and efficiency to achieve healthy unit economics and positive ROI. Second, the gen AI agentic hype accelerated interest and adoption of the technology as company executives mandated teams to explore use cases, looking to gain market advantages.

The most effective model or intricate prompt is unproductive in isolation. As a result, BPM is once again in the limelight. AI’s imminent influence on almost all enterprise workflows makes process discovery, analysis and redesign fundamental for operationalizing any program, let alone scaling it. This predicament mirrors previous digital transformation challenges, which suffered poor success rates due to excessive technology focus while neglecting human or process considerations.

3. More Integrated Multimodal AI Systems

Multimodal AI that combines text, vision, audio, and sensor data will become the norm for businesses seeking holistic, situational awareness. This will go beyond standalone document analysis or voice recognition; instead, integrated systems will be able to draw insights from multiple modalities to provide richer, more accurate interpretations of complex scenarios.

In the financial sector, multimodal AI can revolutionize customer service by integrating text, voice, transaction records, and behavioral data to provide a comprehensive understanding of customer needs. This integration enables financial institutions to offer personalized services, enhance customer satisfaction, and improve operational efficiency.

For instance, AI-powered virtual financial advisors can provide 24/7 access to financial advice, analyzing customer spending patterns and offering personalized budgeting tips. Additionally, AI-driven chatbots can handle high volumes of routine inquiries, streamlining operations and keeping customers engaged.

By leveraging multimodal AI, financial institutions can anticipate customer needs, proactively address issues, and deliver tailored financial advice, thereby strengthening customer relationships and gaining a competitive edge in the market.

4. Regulation-Ready, Explainable AI

With global regulations on the rise, there will be a focus on explainable and transparent AI that meets regulatory requirements from the ground up. We’ll see more emphasis on tools that enable AI transparency, bias reduction, and audit trails, allowing companies to trust their AI solutions and verify compliance on demand.

AI developers will likely provide interfaces that allow stakeholders to interpret and challenge AI decisions, especially in critical sectors like finance, insurance, healthcare, and law.

Beyond transparency, a commitment to responsible AI will be a priority as companies try to gain the trust of clients and consumers. The OECD reports over 700 regulatory initiatives in development across more than 60 countries. While legislation is still catching up to innovation, companies will be seeking to proactively follow voluntary codes of conduct, like those developed by IEEE or NIST, to establish clear standards. By embracing transparency, adhering to best practices, and clearly communicating with customers, they foster a reputation for reliability that bridges the trust gap in AI and increases loyalty and confidence.

External audits will also grow in popularity to provide an impartial perspective. An example of this is forHumanity  a not-for-profit organization that can provide independent auditing of AI systems to analyze risk.

5. Human-Centered AI Design

As AI tools become more embedded in our lives, ethical considerations and human-centered AI design will grow in importance. Expect to see a shift toward AI systems designed with a humanistic approach, prioritizing user empowerment, inclusivity, and well-being.

Companies will likely aim to develop AI solutions that emphasize collaborative intelligence—AI systems that enhance human decision-making rather than replace it. This might also include a focus on psychological safety and user well-being in human-machine interactions

6. Hold your Horses Agentic

The boundaries between deterministic and agentic automation will blur in 2025, leading to more integrated, intelligent, and adaptive systems that enhance various aspects of our lives and industries. But deterministic automation will continue to rule and power at least 95% of automation in production next year.

No doubt agentic automation, characterized by systems that can make autonomous decisions and adapt to new situations, is sexy and poised to make substantial strides. In dynamic environments where flexibility and adaptability are crucial, these systems will enable more personalized and responsive interactions, improving user experiences and outcomes.

7. Pushback on LLMs

The advancements in large language models (LLMs) have been nothing short of revolutionary. But, as with all great things, they come with their own set of challenges, notably the hefty price tag on resources.

Many drawbacks of generative AI and LLMs stem from the massive stores of data that must be navigated to yield value. Not only does this raise risks in the way of ethics, accuracy, such as hallucinations, and privacy, but it grossly exacerbates the amount of energy required to use the tools.

Instead of highly general AI tools, 2025 will see enterprises pivot to purpose-built AI specialized for narrower tasks and goals. It’s like chopping back what you don’t really need – just like a Bonzi tree – you have to cut it away, so it becomes leaner and more efficient. By compressing the model itself, the precisions of its calculations are smaller, increasing speed and lowering energy requirements for computer power.

Wrap up

Without a doubt, 2025 will be another year of greater investment in artificial intelligence, particularly generative AI which will continue to transform companies and jobs in every sector. However, business leaders will take a more data-driven, holistic approach to investment that achieves real business goals, while also ensuring standards are met on ethics and sustainability. After all, the real potential of AI is found in the way it is thoughtfully and strategically applied – don’t let FOMO cloud your judgement.

[wirthconsulting]

ABBYY Survey Shows Businesses Drawn to AI, but Trust Issues Remain

AI-generated image of futuristic printer A new survey from ABBYY, a provider of office-automation solutions, finds that fear of missing out (FOMO) plays a big factor in artificial intelligence (AI) investment among enterprises, with 63 percent of global IT leaders reporting they are worried their company will be left behind if they don’t use it. With fears of being left behind so prevalent, ABBYY…

ABBYY Survey Shows Businesses Drawn to AI, but Trust Issues Remain

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ABBYY Welcomes Clayton C. Peddy as CISO

ABBYY puts your information to work. We help enterprises and organizations to transform their data into intelligent, actionable outcomes

ABBYY 

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Three Ways AI Overcomes Customs Delays

New Post has been published on https://thedigitalinsider.com/three-ways-ai-overcomes-customs-delays/

Three Ways AI Overcomes Customs Delays

Like navigating through an asteroid field in the vastness of space, transportation, shipping, and logistics processes unfold with inherent complexity. With cross-border e-commerce transactions set to soar to hyperspace with an increase of 107% by 2028, the volume of documents involved with navigating this expansion of shipments is astronomical.

Improper handling of these documents in any step of the shipping process could lead to a variety of negative consequences such as additional storage fees, product spoilage, missed delivery deadlines, and even order cancellations. Not only do these mistakes severely impact revenue cycles, but they also damage customer experiences and brand reputation.

According to the International Chamber of Commerce and World Trade Organization, an average of 36 different documents with 240 copies are exchanged per international shipment – and only one percent is fully digitized, meaning many logistics organizations are reckoning with the pressure of these processes.

The most common problems at the root of these delays are high in volume but simple in nature, meaning decision makers in the supply chain can take effective steps to prevent them if they’re proactive, strategic, and on top of the curve of AI and innovation.

By leveraging specialized AI solutions, supply chain leaders can solve three common challenges faced in transportation and logistics processes.

Reduce excessive manual data entry

The volume of waybills, invoices, customs clearance forms, and other documents entailed in international shipping is too extreme to be sustainably processed manually – over 45 million bills of lading are issued per year. If your workflows involve allocating employees to frequent and repetitive manual data entry, you’re already falling behind the curve and likely to suffer a lengthy time-to-market.

Business leaders who are well-informed on the revolutions in artificial intelligence have already realized that deploying just a foundational model is not versatile enough to fulfill business needs and can even prove a costly, inefficient, and ineffective exercise.

Instead, it’s advisable to leverage AI that is built to excel at specific tasks and business contexts. These “purpose-built” AI solutions reduce costs and risks of inaccuracy, yielding higher business value and solving real-world challenges.

This strategy was adopted by global brewery group Carlsberg, who saved over 140 hours of work per month using intelligent document processing (IDP). Powered by purpose-built AI, Carlsberg achieved a touchless order processing rate of 92%, accelerating deliveries and increasing customer satisfaction.

Previously, order entry and delivery registration processes for Carlsberg were highly manual. By automating the delivery note scanning process, the brewery giant experienced drastic efficiency gains and overcame this logistical challenge with specialized and focused AI strategy.

Ensure accuracy of documentation and compliance with regulation

Inaccurate or noncompliant paperwork can lead to major bottlenecks and incur financial penalties, leaving little margin for error.

Handling the customs documentation without AI is akin to embarking on a ‘Rick & Morty’ adventure sans portal gun: chaotic and fraught with delays. Intelligent Document Processing (IDP) is your tool to maintain control of your document multiverse, ensuring every step of documentation is in perfect compliance.

Following BREXIT, the administrative burden of moving goods across the UK/EU border increased greatly – nonetheless, Ireland-based pastry supplier Portumna Pastry was able to accelerate the customs clearance process by using AI to extract data from complex transportation and logistics documents with 100% accuracy, preserving compliance without the need for perpetual human oversight.

By leveraging  intelligent document processing (IDP) powered by specialized AI, Portumna reduced their customs clearance times at the EU/UK border from one hour to just five minutes, effectively removing the need for manual entry, reducing costly delays, and ensuring their products reached store shelves in a timely manner.

Next-generation IDP platforms incorporate pre-trained AI skills that are tailored toward specific documents, enabling them not only to identify and extract key data but also understand it within the context of the document. They are essentially reading, understanding, and reasoning what to do next with data from documents just like a human. These skills help enterprises accurately and efficiently process any document regardless of its language, content, format, or complexity. Equipped with AI-enabled natural language processing, machine learning, and optical character recognition, IDP keeps shippers accurate and in compliance with regulatory requirements to avoid costly delays.

Expedite accurate payment of taxes and fees

One major regulatory facet of international shipping is tariff codes, which can require as much precision and coordination as a ballet dancer to navigate without costly errors. Ensuring goods are accurately classified according to these codes is imperative – as you might have guessed, misclassification could mean penalties and delays for your shipped product. AI brings that level of accuracy to tariff codes, ensuring the logistics ballet proceeds without a misstep.

Deutsche Post DHL Group is the world’s leading logistics company, employing 570,000 people in over 220 countries to ship across borders. This massive scale requires efficiency and meticulous attention to detail to maintain proper adherence to varying codes around the world.

By leveraging AI-enabled capture, classification, and extraction of data from invoices and customs forms, DHL achieved a 70% efficiency increase and automated the processing of thousands of invoices from 124 different vendors.

Similarly, Milaha, a leading maritime and logistics company in the Middle East, achieved comparable success with automating the hundreds of invoices it receives each day in both paper and digital formats. By integrating IDP with its robotic process automation (RPA) platform, Milaha reduced invoice processing time by 64% to cut down on errors and boost employee productivity.

Maintain a purposeful approach to AI

There’s no avoiding complexity in transportation and logistics processes, nor is there a one-size-fits-all solution to the intricate and varying challenges inherent to shipping internationally.

Attempting to implement AI without proper attention to the variables and circumstances faced by your business is unlikely to generate real value, contrary to spurious claims made by the many AI startups that have cropped up in the past year. Goal-driven strategy and data-driven decisions are the path to success, and supply chain leaders should use the tools already at their disposal to guide automation efforts and achieve operational excellence.

To take full advantage of their business processes, decision makers can leverage AI-powered task and process mining to scrutinize their core processes and find the right opportunities for improvement, ensuring that every attempt at innovation and intelligent automation is on a purposeful path to gains in efficiency.

Advanced process intelligence platforms can leverage AI to predict the outcomes of proposed improvements to workflows, allowing decision makers to understand the implications of such investments before diving headfirst into implementation. Known as “process simulation,” this capability eases the barrier to intelligent automation by reducing the risk of failed attempts, technical debt, and wasted resources.

In the complex landscape of logistics, where precision meets the pace of a Pro Rally, embedding AI into your strategy is like finding the perfect co-pilot. It’s about making sure every part of your journey is as smooth and efficient as an expertly navigated curve on the track, ensuring not just speed but precision in every decision. In this race against time and error, purposeful AI-driven tactics keep you ahead, turning potential delays into nothing more than a fleeting shadow in your rearview mirror.

[nctthai]

NCT ให้บริการด้านการนำเสนอ Solution ของการทำกระบวนการ RPA ด้วยการร่วมมือกับเครื่องมือระดับโลก เช่น ABBYY, Elastic Search, Tableau, OutSystem

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ABBYY Review with Competitors

ABBYY offers document processing, data capture using advanced OCR technologies. Millions of users depend on ABBYY to automate data extraction and processing from documents. 

There are many ABBYY products like Finereader, Flexicapture, Timeline, and Vantage and they solve many different use cases. In recent times, there are many competitors and alternatives to ABBYY’s solutions as well. 

Learn more about ABBYY Reviews, Competitors and Alternatives.

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ABBYY Launches New Digital Identity Proving Solution

ABBYY Launches New Digital Identity Proving Solution

ABBYY says it’s solving the billion-dollar identity fraud problem facing consumers and businesses with the first all-in-one solution that provides fast identity proving and affirmation. The ABBYY Proof of Identity solution is said to simplify document-centric digital onboarding processes while giving enterprises the confidence that customers, constituents, employees, and partners are who they say…

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