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    This Mental Health Awareness Month, take care of your cybersecurity staff

    Getting stakeholder engagement right in responsible AI

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    Coming AI regulation may not protect us from dangerous AI

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    The profound danger of conversational AI

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    Top 5 stories of the week: One word: ChatGPT

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    Lucy 4 is moving ahead with generative AI for knowledge management

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    Google will leapfrog rivals with AI event next week

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    Analyze and visualize multi-camera events using Amazon SageMaker Studio Lab

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    Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

    Scaling distributed training with AWS Trainium and Amazon EKS

    Scaling distributed training with AWS Trainium and Amazon EKS

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    How to decide between Amazon Rekognition image and video API for video moderation

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    Build a water consumption forecasting solution for a water utility agency using Amazon Forecast

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    Amazon SageMaker built-in LightGBM now offers distributed training using Dask

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    Cohere brings language AI to Amazon SageMaker

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    Upscale images with Stable Diffusion in Amazon SageMaker JumpStart

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    Meet Sketch: An AI code Writing Assistant For Pandas

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    Exploring The Dark Side Of OpenAI’s GPT Chatbot

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    OpenAI launches tool to catch AI-generated text

    Year end report, 1 May 2021- 30 April 2022.

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    Meet ETCIO SEA Transformative CIOs 2022 Winner Edmund Situmorang, CIOSEA News, ETCIO SEA

    His Highness Sheikh Theyab bin Zayed Al Nahyan witnesses MBZUAI inaugural commencement

    His Highness Sheikh Theyab bin Zayed Al Nahyan witnesses MBZUAI inaugural commencement

    Hyperscale Revolution

    Companies that are leading the way

    ChatGPT and I wrote this article

    ChatGPT and I wrote this article

  • Vision
    Analyzing the Power of CLIP for Image Representation in Computer Vision

    Analyzing the Power of CLIP for Image Representation in Computer Vision

    What is a Computer Vision Platform? Complete Guide in 2023

    What is a Computer Vision Platform? Complete Guide in 2023

    Training YOLOv8 on Custom Data

    Training YOLOv8 on Custom Data

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    The Best Applications of Computer Vision in Agriculture (2022)

    A Review of the Image Quality Metrics used in Image Generative Models

    A Review of the Image Quality Metrics used in Image Generative Models

    CoaXPress Frame Grabbers for Machine Vision

    CoaXPress Frame Grabbers for Machine Vision

    Translation Invariance & Equivariance in Convolutional Neural Networks

    Translation Invariance & Equivariance in Convolutional Neural Networks

    Roll Model: Smart Stroller Pushes Its Way to the Top at CES 2023

    Roll Model: Smart Stroller Pushes Its Way to the Top at CES 2023

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    Image Annotation: Best Software Tools and Solutions in 2023

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    Benefits of Implementing RPA in Banking Industry

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    Accelerate Account Opening Process Using KYC Automation

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    AccentCare Reduced 80% of Manual Work With AutomationEdge’ s RPA

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    Why Every Business Should Implement Robotic Process Automation (RPA) in their Marketing Strategy

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    A Little To The Left Review (Switch eShop)

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    Incredible November Xbox Game Pass addition makes all other games obsolete

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    The Game Awards nominations are in, with God of War Ragnarok up for 10 of them

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How to get started with intelligent automation

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January 20, 2023
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Try all of the on-demand periods from the Clever Safety Summit here.


Enterprise house owners will attest that working a enterprise, new or outdated, massive or small, is just not a straightforward activity. Certainly, based on the latest data from the U.S. Bureau of Labor Statistics, practically 1 in 5 U.S. companies fail within the first 12 months. 

The highway to making a profitable, long-standing enterprise is filled with challenges, together with rising buyer expectations, gaps in expert labor and rising complexities throughout enterprise and IT features, all of which can be laborious to foretell and put together for. That’s why AI and automation (which might be known as “clever automation”) can be utilized to automate low-level duties inside enterprise to higher put together for the unpredictable. 

The truth is, AI adoption has been rising steadily over the previous few years. In accordance with IBM’s 2022 AI Adoption Index, 35% of corporations use AI of their enterprise, and an extra 42% are exploring AI applied sciences. Clever automation is not a know-how of the long run. It has grow to be an more and more vital funding to assist companies develop and thrive. 

Enterprise course of automation: Begin with course of mining

Clever automation helps companies push previous challenges. However oftentimes, successfully implementing and scaling these applied sciences is usually a problem itself. Many automation efforts fail at first as a consequence of a lack of imaginative and prescient and uncertainty as to the place to begin.

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See also  MeetKai rolls out creator tools for conversational AI and the metaverse

Course of mining, which is know-how for locating, optimizing, and monitoring processes, is proving to be an excellent beginning place for companies able to embrace automation and start their digital transformation journeys. 

All organizations, no matter dimension, location, trade, or different demographic, depend on processes to function successfully. Course of mining allows companies to higher handle day-to-day enterprise features throughout accounting, procurement, challenge administration, danger administration, provide chain operations (and extra), and be certain that workers can give attention to higher-value work.  

By having an understanding of how enterprise processes truly work, a Chief Automation Officer (CAO) and their staff can determine automation alternatives prioritized by impression and anticipated return on funding (ROI).

Course of mining drives steady enchancment in each trade

It’s important for organizations to vary and act with agility, and understanding enterprise processes is step one in course of enchancment. With a greater understanding of how underlying processes run, organizations could make smarter choices to spice up efficiencies and save prices. 

Max Mara, a big Italy-based luxurious style home devoted to creating high-quality style accessible to on a regular basis individuals, noticed the digital share of enterprise quantity practically triple over the course of the pandemic. They acknowledged that the effectivity of its back-end operations would now have a fair bigger impression on buyer satisfaction. So, the retailer applied course of mining to enhance the shopper journey throughout high-demand occasions, and was capable of show a 90% enhance in customer support decision occasions and a 46% discount in common value per decision. 

One other group embarking on a digital transformation journey is Credem, an Italian financial institution unfold throughout 19 Italian areas. Credem prides itself on nicely banking, a philosophy that helps be certain that its clients’ monetary wants, from on a regular basis banking to wealth administration, are taken care of.

See also  IBM: Quantum computing poses an ‘existential threat’ to data encryption 

The monetary establishment realized it wanted to enhance its enterprise worth, cut back prices and enhance efficiencies, all whereas enabling monitoring and management of important enterprise processes. To start out, the financial institution took an in-depth take a look at processes and areas that could possibly be automated. For instance, bank card checks and approvals for retail clients.

They then utilized enterprise automation to shorten the approval time from 4 days to 1 and save roughly €500,000 per 12 months. General, Credem was capable of apply automation to 91 processes, saving them greater than €1.4 million and reducing the mortgage course of by 70%. 

Course of mining supplies the ability of knowledge and knowledge to enhance enterprise course of execution to attain operational excellence. Higher information of processes can imply more practical data-driven decision-making, prices financial savings and improved providers to clients.

By beginning automation initiatives with course of mining, organizations can create deeper efficiencies in enterprise to focus efforts on driving innovation, delivering high quality services and products, and bettering buyer retention. 

Dinesh Nirmal is Senior Vice President, Merchandise at IBM Software program.

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