The BMI Lab Blog

MARCH 8, 2024

Artificial Intelligence (AI) has become a game-changer across industries, transforming how businesses operate. Let's delve into the numerous ways AI is reshaping business models and operations, helping organisations stay ahead in today's fast-paced digital world.

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hackerearth

DECEMBER 26, 2018

Banks have always been custodian of customer data, but they lack the technological and analytical capability to derive value from the data. On the other hand, fintech companies have the analytical capabilities and, thanks to payments services directives, they now have access to valuable data.

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Jeffrey Phillips

FEBRUARY 13, 2020

One breed of miner - the hardhat wearing, coal digging, heavy equipment manager is leaving the scene, being replaced by large equipment, robots, issues with safety and the environment and of course greenhouse gas concerns. In his or her place is emerging a new kind of miner - a data miner, a process miner, a bitcoin miner.

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Paul Hobcraft

MAY 15, 2018

If only we can get them prised out of the engineer, data scientists, or software experts hands. As we all know the biggest buzz on the block today is “Artificial Intelligence”, well it is within this Knowledge Graphs we have a large part of its foundation. Google, a leader in AI introduced in 2012 “Knowledge Graphs”.

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Acuvate

MAY 25, 2023

In this blog, we will explore the emerging trends and technologies that are shaping the landscape of RPA workflow automation and intelligent automation. This includes tasks such as data entry, document processing, invoice management, customer service, and other business process management.

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Planview

DECEMBER 12, 2023

Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. The problems with those approaches?

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Acuvate

OCTOBER 18, 2019

In a time where the average enterprise generates large amounts of data on a daily basis, unless the data paves a path to gleaning valuable insights, on its own, data does not hold much value. With AI Builder, users can now add intelligence to their apps with no coding or data science prerequisites.

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IdeaScale

DECEMBER 15, 2021

One of the most uncomfortable discoveries in the early years of machine learning was that long-standing social biases emerged from data. While machine learning and data science were being embraced with enthusiasm, these were reminders that biases were built into data sets and needed to be compensated for.

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Acuvate

DECEMBER 6, 2019

McKinsey Global Institute’s reports suggest that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result. Yet today, many companies neglect the potential of data and analytics. Start with a Data Strategy.

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Data Artificial Inteligence Technical Review Guidelines 85

Acuvate

APRIL 24, 2023

The ecommerce retail giant utilizes data analytics, artificial intelligence, and machine learning to deliver personalized content to users, leveraging Cognitive Knowledge Management Systems (KMS) to keep its workforce prepared to take on the competition. Using advanced analytics and predictive modeling.

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Harvard Business Review

NOVEMBER 17, 2023

Companies have a growing problem of information overload regarding markets and competitors, which often prevents the C-suite from making the best decisions available given the data at its disposal. In other words, generative AI can become the watchful eye that spots useful insights in the field of competitive intelligence.

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Acuvate

JUNE 26, 2023

With advancements in technology, medical transcription has evolved from manual transcribing to intelligent systems powered by AI and machine learning. In this article, we will explore how medical transcription is revolutionizing patient care and enabling the establishment of rapid-action clinics.

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Acuvate

JUNE 26, 2023

With advancements in technology, medical transcription has evolved from manual transcribing to intelligent systems powered by AI and machine learning. In this article, we will explore how medical transcription is revolutionizing patient care and enabling the establishment of rapid-action clinics.

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Artificial Inteligence Industry System Technical Review 52

Acuvate

JUNE 22, 2022

The advent of conversational AI and NLP in the form of chat and voice bots has empowered banks to mimic the branch experience at scale with the ability to converse in the customer’s preferred language. Chat and voice-enabled bots can also offer intelligent savings and investment advice armored with customer data.

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Paul Hobcraft

AUGUST 14, 2018

I recently heard Knowledge Graphs will become as topical as “Artifical Intelligence” as a prediction for use in an industrial application. We are told Artificial Intelligence is meant to be a panacea to solve all this current ‘disconnects’. It integrates (over time) with machine learning. Original Source: Siemens.

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Acuvate

NOVEMBER 8, 2022

Simply put, medical transcription is mainly centered around documenting patient-physician interactions during hospital visits. The entire procedure begins with the physician examining the patient, documenting all physical ailments and diagnoses, along with medical recommendations and the treatment plan launched.

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Acuvate

APRIL 5, 2022

Documents continue to be the primary mode of communication between organizations. As compliance and security requirements change between organizations, industries, and regions, organizations amass a ton of documents in different formats, complicating the extraction of useful, meaningful information. Robotic Process Automation (RPA).

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Yet2

JANUARY 15, 2019

Our team wrote a number of widely read blog posts in 2018, spanning the topics of artificial intelligence (AI) and machine learning, adjacency in tech scouting, startups and their comparative value proposition, anonymous searches in tech scouting and more. AI and Machine Learning Blog Posts.

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Acuvate

MARCH 20, 2023

Chatbots, also known as conversational agents, use artificial intelligence and natural language processing to replicate human dialogue. Chatbots can interpret and respond to user inquiries more naturally and interactively by employing natural language processing (NLP) technology.

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Acuvate

JULY 5, 2023

A GPT ​ powered ​ knowledge management system utilizes generative AI to analyze and organize data from a variety of sources. These sou rces include internal documents, ​ ​ customer interactions, and social media. The ​ machine-learning algorithms analyze and categorize large amounts of data from various sources.

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Acuvate

JULY 5, 2023

A GPT ​ powered ​ knowledge management system utilizes generative AI to analyze and organize data from a variety of sources. These sou rces include internal documents, ​ ​ customer interactions, and social media. The ​ machine-learning algorithms analyze and categorize large amounts of data from various sources.

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Acuvate

NOVEMBER 22, 2019

In 2017, The Economist reported that data is the oil of the digital era and has dethroned oil as the most valuable resource in the world. But unlike oil, extracting, maneuvering, filtering, refining and storing the continuous stream of data from various internal and external sources is a herculean task. Improves Customer experience.

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Acuvate

MAY 30, 2023

And the best part is these chatbots self-trains on enterprise documents, website content, etc, using GPT technology, eliminating the need for time-consuming training and retraining. If we want to cross-sell to a chatbot, for example, what should its data sources be?

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mjvinnovation

MARCH 10, 2020

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. There is no strict rule about the amount of data that needs to be collected in a Big Data Strategy.

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IdeaScale

DECEMBER 29, 2021

Big Data and AI. Data science and artificial intelligence had been part of the logistics industry well before the pandemic. It’s vital to understand that the primary goal of AI in this scenario is to analyze data and draw out patterns for humans to review. Here are five areas in which this is happening.

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IdeaScale

JANUARY 8, 2020

Depending on how widely your team is scattered, you may be learning to overcome time and language barriers, coping with data accessibility issues, and expending energy bemoaning lack of team unity. 4 Data Integrity, Storge, and Security. At each of these stages in the life of data, security and transparency are paramount.

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InnovationTraining.org

DECEMBER 12, 2022

It’s a step toward a more independent, autonomous and self-directed style of learning where individuals can take control of their own learning. An LXP can use artificial intelligence (AI) to recommend content to users, including third-party information found on the internet.

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Leapfrogging

APRIL 15, 2024

Organizations are now recognizing the importance of adapting their collaboration strategies to accommodate remote work, cross-functional teams, and the integration of artificial intelligence in the workplace. AI Integration Leverage technology for streamlined collaboration and data analysis.

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Collaboration Technical Review Agile Trends 113

Acuvate

FEBRUARY 17, 2022

While traditional RPA has been successfully compensating for the precision and carrying out mundane tasks, organizations have been slowly bringing intelligence onto the table, paving the way for the automation of more complex processes. Auto-read unstructured data like email invoice requests, attachments, and excel files to create invoices.

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Greatest. Idea. Ever.

FEBRUARY 17, 2021

In addition to Quantum Brains the future may also bring us Artificial Brains, at least in the form of a new Artificial Intelligence system known as Sentient that the United States military may one day come to rely on. ‘It ingests high volumes of data and processes it,’ says Furgerson.

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Artificial Inteligence System Analysis Report 63

Acuvate

JUNE 12, 2023

It is paving new avenues for enterprises, rapidly emerging as a catalyst and leveling up innovation at breakneck speed.      From content generation and personalized support to data-driven decision-making, Generative AI’s far-reaching applications are amplifying operational efficiency and productivity.

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Generative AI Technical Review Artificial Inteligence Data 52

Acuvate

JUNE 12, 2023

It is paving new avenues for enterprises, rapidly emerging as a catalyst and leveling up innovation at breakneck speed.      From content generation and personalized support to data-driven decision-making, Generative AI’s far-reaching applications are amplifying operational efficiency and productivity.

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Generative AI Technical Review Artificial Inteligence Data 52

Acuvate

JUNE 19, 2023

Bank Automation and Operational Efficiency One of the significant advantages of GPT chatbots is their ability to automate various banking processes while also ensuring that crucial data isn’t breached. Continuous Learning and Improvement GPT chatbots are continuously being enhanced and improved based on customer interactions.

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Acuvate

JUNE 19, 2023

Bank Automation and Operational Efficiency One of the significant advantages of GPT chatbots is their ability to automate various banking processes while also ensuring that crucial data isn’t breached. Continuous Learning and Improvement GPT chatbots are continuously being enhanced and improved based on customer interactions.

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Leapfrogging

APRIL 15, 2024

This synergy is particularly crucial when navigating the challenges presented by disruptive technologies, artificial intelligence, and shifting market demands. Key features often include video conferencing, shared workspaces, real-time document collaboration, and task assignment capabilities.

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Underperforming Technical Team Collaboration Creativity Software Review 113

eZassi

OCTOBER 14, 2021

Ensure that all value-added data (IP and peer-reviewed literature, internal technical and marketing documentation, financial data, business profiling, networking databases, etc.) Build the collaboration models that are appropriate for your organizational innovation maturity.

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Change Technical Review Artificial Inteligence Collaboration 52

CMOE

MAY 20, 2020

When it comes to streamlining your work processes, you can connect your team across the generational spectrum by starting your business’ journey with technology that uses artificial intelligence , such as automation.

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