Category: AI & MI

Manufacturing Demand with Advanced Analytics

Optimising Manufacturing Demand with Advanced Analytics

Manufacturing efficiency and supply chain enhancement are key goals for most industrial enterprises today. In this scenario, the optimisation of manufacturing demand with advanced analytics is deemed essential for driving higher productivity, lowering wastage, and enabling higher operational efficiencies for companies. Based on data-driven insights, enterprises can deploy analytics for setting goals and empowering self-management of performance at the operators’ end. They can identify the best practices for achieving growth while designing their formal working procedures accordingly.  They can also enable the empowerment of front-line personnel with regard to enhancing overall training, collaboration, and communication, especially by using varied productivity tools for this purpose. Manufacturing entities can use advanced analytics to generate higher efficiency in production along with enabling more agile production lines, assets and supply chains with data-based support and decision-making. Real-time and historical operational data can be leveraged for improving processes and ensuring higher standardisation to save both time and costs. At the same time, this will also help personnel detect potential risk sand variability, thereby bypassing errors that can prove costly in the long run.  The Importance of Demand Data Demand data is crucial for manufacturing enterprises at multiple levels. Here are some points worth noting in this regard.  Hence, as can be seen, demand data is the lifeblood for leveraging advanced analytics towards taking better business decisions. Let us now take a closer look at data integration and why it matters.  What role does data integration play in manufacturing optimisation? If manufacturing enterprises have to rely on data-driven insights and use analytics, then data integration is a must. Here are some pointers on the same.  Using robust data platforms and focusing on data integration are crucial tasks for manufacturing entities. It is essential for ensuring the accuracy and quality of data that is being used for analysis and insight-gathering. Advanced analytics can be used effectively to forecast demand for manufacturers. Here’s examining the same in more detail. Advanced Analytics to Forecast Demand Using advanced analytics for demand forecasting comes with its fair share of benefits for manufacturers. Here are some of them:  Manufacturing demand can be suitably optimised by leveraging advanced analytics. At the same time, manufacturing enterprises can manage inventory better and streamline product planning with the help of these insights.  FAQs Manufacturing analytics can be adapted to different manufacturing environments. They may enhance the quality of the end product of the company while also enabling data-based product optimisation, identifying defects or errors, and also evaluating consumer feedback and other buying trends.  Optimising manufacturing demand comes with several advantages, including enhancing overall equipment efficacy, lowering delays in production, enhancing the effectiveness of equipment, lowering the chances of breakdowns, and also tracking equipment performance and availability. It may also help in scaling up overall quality.  Optimisation goes hand in hand with just-in-time (JIT) manufacturing. This is sometimes known as lean production/manufacturing. Instead of supplying consumers and producing goods from stocks, JIT systems emphasise on the production of the exact amount required when consumers need the same.  Analytics can greatly enhance relationships with suppliers. Some of the advantages include easy tracking of supplier performance and tackling issues along with boosting trust and communication throughout multiple channels. This is enabled through easier demand forecasting, avoiding overproduction and streamlining timelines and supply chains accordingly.

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Customer Feedback Management with GenAI

Transforming Customer Feedback Management with GenAI

Customer feedback management and customer service are steadily being transformed with the use of GenAI or generative AI is a huge buzzword today. This transformation in customer support functions has naturally led to GenAI being a tool for business growth and empowerment. There are several aspects that clearly indicate the increasing adoption of GenAI amongst businesses. There are several aspects that clearly indicate the increasing adoption of GenAI amongst businesses. 51% of marketers, as per reports, presently use GenAI while 22% of them plan to use the same soon. 76% of marketers in copy and content writing are already using GenAI while 53% call it a game changer for data analysis, user messaging personalisation, marketing campaign creation, and optimisation/envisioning of SEO strategies. Generative AI has a direct impact on overall productivity, potentially adding innumerable value to the economy worldwide. 75% of GenAI value may be delivered in four categories, namely marketing and sales, customer operations, R&D, and software engineering. Banking, life sciences, and high tech will be industries that will witness the most impact. Here’s looking at the effect of GenAI on feedback management and customer service.  How is generative AI used in customer service? GenAI is highly effective in terms of streamlining customer feedback management and service alike. Here are a few aspects that should be understood in terms of how it can bring about a transformation in the segment.  How GenAI Can Help You Collect and Analyse Customer Feedback GenAI is a great tool to collect and evaluate customer feedback. Here are some major points to keep in mind in this regard:  The Future of Customer Feedback Management with GenAI Customer feedback management will undergo a huge transformation with GenAI in the near future. Here are some aspects that will become mainstream for companies.  To sign off, it can be said that GenAI will completely reshape customer feedback management and service functions in the future. More businesses will find greater value in leveraging generative AI to enhance customer journeys, tackle issues, and plug gaps. This will naturally put them on course towards achieving steady growth and their objectives.  FAQs  GenAI can transform feedback management through helping companies swiftly gather feedback from multiple channels and analysing the same. This results in helpful insights for companies to take better decisions. They can understand customer preferences and pain points while taking steps to address the same.  GenAI can easily accommodate diverse sources of feedback. These may include social media platforms and communities, emails, reviews, and direct interactions with the company. These can be easily gathered and analysed to generate valuable insights.  GenAI can be customised to various industries including life sciences, healthcare, technology, banking and financial services, and many more. Language learning models and generative AI-based algorithms can be customised to analyse and gather specific data and churn out insights accordingly.  There are concerns related to data privacy and security as far as the usage of GenAI is concerned. The analysis and training of input data has led to these concerns. However, with advanced encryption and other security measures, businesses can resolve the same seamlessly. At the same time, consent gathering and management is another solution in this regard. 

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Life Science & Pharma News Wrap | Weekly Snippet

Life Science & Pharma News Wrap | Weekly Snippet

✅ Scientists unveil a new tech for detecting protein modifications. From disease research to drug development, this discovery can now delve deeper into vital biological pathways. https://www.news-medical.net/news/20230801/Scientists-develop-breakthrough-technology-for-detecting-protein-modifications.aspx ✅ Hyderabad’s thriving ecosystem is offering boundless opportunities for growth and breakthrough research. No wonder, more than 12 big biotech companies are now eyeing this city to expand their footprints. https://m.timesofindia.com/city/hyderabad/its-destination-hyd-for-top-biotech-life-sciences-firms/articleshow/102241355.cms ✅ CHA Vaccine Institute and Pharos iBio join hands to co-develop AI-based treatments. This collaboration aims to reinvest immunotherapies for a healthier future. https://www.koreabiomed.com/news/articleView.html?idxno=21757 ✅ PIPA and Meati are set to redefine how we approach life sciences and food innovation. Powered by AI, this transformative journey promises the way for personalised and more effective treatments.https://www.koreabiomed.com/news/articleView.html?idxno=21757

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Retail News Wrap Int.

Retail News Wrap | Weekly Snippets

✅ ASOS has taken personalisation in the retail landscape to the next level by joining forces with Rokt for post-purchase promotions. ✅ Fashinza’s brand-new design lab in Gurugram aims to build and empower robust product development and research infrastructure in the retail sector. https://www.indianretailer.com/news/retail-india-news-fashinza-launches-state-art-design-lab-gurugram ✅ Publicis Groupe’s Profitero unveils AI-Powered retail analytics. With this technology, retailers can now make data-driven decisions, analyse competition, and optimise pricing like never before. https://adage.com/article/digital-marketing-ad-tech-news/profitero-launches-ai-powered-retail-analytics/2508196 ✅Fujitsu’s AI customer service solution heads to supermarkets in Japan for field trials. This will transform the shopping experience and offer customised product recommendations and personalised support.https://indiatechnologynews.in/fujitsu-deploys-ai-customer-service-solution-for-field-trials-at-supermarket-chain-in-japan/

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Insurance News Wrap

Insurance News Wrap | Weekly Snippets

✅ From streamlining claims processing to personalised policy recommendations, insurance’s ‘first’ chief AI officer is here. https://ow.ly/8szs50Pnqs6. ✅ Cognizant and Max Life Insurance join forces to transform the insurance landscape as they jointly announce an innovation and development centre. https://ow.ly/BCtT50Pnqs2 ✅ Discover the convenience of instant policy issuance and quick claim settlements with Bajaj Allianz Life Insurance’s latest tech stack. https://ow.ly/YXiX50Pnqs4 ✅ HDFC ERGO is taking a leap forward to enhance CX and transform the insurance industry by teaming up with Google Cloud to launch a Center of Excellence for Generative AI. https://ow.ly/7stY50Pnqs3

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Banking & Finance News Wrap

Banking & Finance News Wrap | Weekly Snippets

✅ Fraud protection just got a massive upgrade as Mastercard unveils its AI Tool to combat APP scams worldwide.  https://www.livemint.com/ai/artificial-intelligence/mastercards-new-ai-tool-will-help-banks-tackle-app-scams-globally-11688603976444.html ✅ TotallyMoney joins forces with Bud to introduce an AI-powered Payments Tracker that will help users with tracking expenses, personalise spending recommendations, and more. https://thepaypers.com/online-mobile-banking/totallymoney-partners-with-bud-to-launch-ai-powered-payments-tracker–1263564 ✅ After the likes of Facebook and Google, Elon Musk takes the leap into the world of Super Apps with Banking on X https://www.bloomberg.com/news/articles/2023-07-25/elon-musk-pursues-banking-in-wake-of-rivals-failed-attempts ✅ Cyber Police tracks banking fraud in Kozhikode. The forgery was worth ₹40,000 and the scammers took the help of AI tools to run the operation. Read more. https://www.thehindu.com/news/cities/kozhikode/banking-fraud-using-ai-probe-in-full-swing-to-track-suspects/article67116085.ece

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Analysing Unstructured Data in Life Sciences

 Analysing Unstructured Data in Life Sciences

Unstructured data analysis is a key talking point when it comes to the life sciences industry. The need for better life sciences data management has grown rapidly in recent years, with the help of better data integration and advanced technologies like machine learning, big data analytics, data visualisation, and natural language processing (NLP). Data scientists usually classify data as semi-structured, structured, and unstructured. Unstructured data represents information that has not been organised into any uniform format and hence is difficult to operate. It may include images, text, video, and audio materials. This data may come with semantic tags but may suffer from inconsistencies or the lack of standardisation. Unstructured data analysis cannot be neglected, since this data type is vital. This is usually extracted from human languages via natural language processing (NLP) and gained via sensors, scraped from the web or databases, and so on. This data has vast benefits in terms of generating helpful insights for life sciences companies. Machine learning for identifying patterns & trends in unstructured data: Gartner has forecasted how the life sciences and healthcare segment will keep surpassing average growth in IT expenditure. This investment will be majorly targeted towards cloud transitions, digital care delivery transformations, data and analytics, virtual care solutions, and more. Here are some key points worth noting in this regard:  Natural language processing (NLP) is the cornerstone of extracting insights from vital text data. Here’s learning more about the same.  NLP for extracting insights from text data: Here are some points relating to natural language processing (NLP) which enables machines to interpret, understand, and generate human languages. Here are some points that should be taken into account:  The third step in the process is data visualisation. Here’s learning more about the same below. Data visualisation for communicating the insights from unstructured data to stakeholders Data visualisation is also a vital step for unstructured data analysis. It indicates data representation via the usage of various displays and graphics for communicating complex relationships and insights to stakeholders. Here are some aspects that should be noted in this regard:  Thus, automatic classification technologies driven by ML, NLP, visualisation, and other tools will enable the identification of trends and patterns throughout unstructured data. This will lead to better insights, usage, and decision-making throughout product development, patient care, safety, logistics, and various other aspects.   FAQs 1,What is unstructured data in the context of life sciences? Unstructured data for the life sciences industry is a form of data that is not uniform and may be hard to understand. It may have inconsistencies and may be hard to integrate or standardise.  2.What tools and technologies are available for handling unstructured data in life sciences? There are several technologies and tools used to take care of unstructured data in the life sciences industry. These include machine learning (ML), NLP (natural language processing), data visualisation, and artificial intelligence.  3. What are the potential benefits of analysing unstructured data in life sciences? There are several advantages of analysing unstructured life sciences data. These include identification of patterns and trends, generation of easy-to-understand actionable insights and faster decision-making as a result.  4. What are the challenges associated with managing and unstructured data in life sciences? Some of the challenges linked to the analysis and management of unstructured life sciences data include data silos, issues with visibility, collaboration throughout teams, data export and access issues, lack of data organisation and integration, and problems with its retrieval and classification.

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INT. Pulse

 Close shave – Thank your asteroids.

Dear Colleague, we woke up today with a bit of a ‘dinosaur feeling’. 🦖 How Come? The Jurassic emotion was a direct result of finding out that a house-sized asteroid is making a very close pass of our planet today.  Fyi, when faced with the wrath of such a rogue rock, the dinosaurs were not so lucky, and that’s evident because these days you are filling up their remains in your car’s fuel tank.  🦖 + ☄️ = ⛽ What’s On The Rocks? As you read this, Asteroid 2018 BG5, a space rock from the Apollo group of near-Earth asteroids, will fly by earth (July 27,2023) at a speed of 30,094 kays an hour, per NASA’s Center for Near-Earth Object Studies (CNEOS).  The asteroid will come as close as 4.1 million kilometers to us – a distance which may seem large, but it is relatively small in astronomical terms, considering the vastness of space and the size of the asteroid. Should You Withdraw All Your Savings? No. No. NASA’s best have assured that there is no risk of impact with Earth today or in the foreseeable future. ⚠️ However, even a small asteroid can cause significant damage if it enters the Earth’s atmosphere, as shown by the Chelyabinsk meteor event in 2013, when a 59 feet asteroid exploded over Russia, injuring over 1000 people and damaging nearly 8000 buildings. STATS: Sorry, The Doctor Isn’t Available Life sciences leaders, heads up. Are your sales reps getting the cold shoulder/elbow nudge from doctors more often these days? Turns out, they are not trying to hoodwink your system while catching up on Oppenheimer during office hours. Yeah? How Is That? A new CMI Media Group survey of physicians across countries is providing fresh evidence that face to face meetings with doctors is becoming a rare commodity since COVID-19. When asked, 25% of the doctors reported reducing face-to-face interactions. With another 10% of doctors permanently closing their doors for reps, the survey suggests pharmaceutical companies will find it increasingly tough to put their drugs in front of ~35% of physicians via the traditional in-person route. Aha. What Could Work Then? To start, how doctors utilise their time roughly maps onto the value they place on each touchpoint. Print and online journals are on top, with 79% finding them very or extremely useful. Pharma reps on the other hand, are pretty much down on the attention radar. Only 33% doctors find reps very or extremely useful, placing them below resources like medical websites and unbranded disease education from biopharma. Bonus Data Points 🍎 99% doctors engage with print/online journals or medical websites at least once a month. 🍎 75% also engage with search engines and email, online drug references, direct mailers, medical apps, professional online communities, brand emails, medical videos on YouTube, and medical podcasts. The doctors’ world is clearly leaning towards an omnichannel approach. If you need to explore such a strategy, chat up with Anindya, our resident Life Sciences man. Psst, he curates the most amazing conversations over ☕️. Ai & ANALYTICS: The Chatbot Will See You Now Unlike physicians who are reducing their face time with med reps, did you know chatbots have no pressing personal issues (yet) and are doing mankind some sterling service?  I Do  This blurb refers to securing consent from humans for stuff like clinical trials and other life sciences related studies, where, hold our battery pack, chatbots are doing very well.  Seriously? Yo! Results from a study of the use of a chatbot in the consent process show that it encourages inclusivity, and leads to faster completion of the process with high levels of understanding.  On the flip side, the traditional method of securing consent lacks a mechanism to verify understanding objectively, just like all the web forms we give consent to without understanding zilch of the fine print.  Comparatively, the chat-based method can test comprehension, disqualifying users who do not show understanding to give consent; rather, it puts them in touch with a genetic counsellor to figure out why knowledge transmission did not occur.  Pretty dang smart for a piece of software, talking of which, we have a whole bunch of AI-powered chat bots held in a big steel vault behind Dipak’s office desk. Get in touch with him to deploy one for your business.  BFSI: A Single Source of Truth We’ve been swamped with news, stories, videos, and you-name-it, all revolving around artificial intelligence, once prompting OpenAI’s CEO to say, people are ‘begging to be disappointed’ about GPT4, meaning let’s water down the hype, please.  But amid all the speculation and noise, what are the most achievable, real world uses of AI?  The BFSI Space Is A Great Start, We Say The BFSI sector is flourishing with AI tech integrating with many functions, from the digital KYC verification process to evaluating credit scores.  However, to quench the thirst of the customer base accustomed to the convenience of digital tools, the industry needs to deploy more AI tech, the first among them could be;  Customised Experience: Because of the very nature of the trade, BFSI players have always had a finger on consumer pulse. Time to take that to the er, bank. Their spending patterns and investment portfolios can assist BFSI businesses to build relevant, personalised messages, enabling them to better present their products and services across various platforms, improving acquisition and loyalty.  This is where AI and data analytics shine, delivering value by creating a single source of truth from an ocean of data from within and outside the business.  Fraud Detection: While the original BFSI fraud detection model is focused on detecting fraudulent transactions – an area where generative AI has added a powerful weapon to the fraud detection arms depot – a gap remains.  You guessed right, detecting fraudulent human behaviour. Fraud does not happen in vacuum or underwater. People commit fraud.  AI can also be deployed to comb through the field of behavioural indicators. It’s time to task AI with sifting through the subtleties of human communications — written

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Banking & Finance News Wrap

Banking & Finance News Wrap | Weekly Snippets

✅ AI and machine learning join forces with financial crime programs to take security to new heights. It’s time to stay one step ahead of fraudsters and safeguard your assets. https://www.securitymagazine.com/articles/99596-ai-and-machine-learning-have-been-added-to-financial-crime-programs ✅ Emirates NBD and Microsoft are reshaping the banking industry, making it more seamless, secure, and customer-centric with the use of new age tech. https://ibsintelligence.com/ibsi-news/group-chief-operating-officer-emirates-nbd/ ✅ Mastercard’s latest AI-powered fraud risk solution is teaming up with nine UK banks to stay one step ahead of fraudsters.  https://www.fintechfutures.com/2023/07/nine-uk-banks-tap-mastercard-ai-to-fight-payment-fraud/ ✅ Elon Musk takes us on a journey into the uncharted territories of artificial intelligence with his new AI startup. Led by a team of handpicked experts, Elon’s AI startup holds the potential to transform various industries.  https://finance.yahoo.com/news/elon-musk-unveils-ai-startup-211512549.html

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LIFE SCIENCE & PHARMA NEWS WWRAP

Life Science & Pharma News Wrap | Weekly Snippets

✅ NanoTemper Technologies launches a Biotinylated Target Labeling Kit that aims at transforming the way scientists in the pharma landscape approach challenging drug targets.https://ow.ly/Bon150P5YtC ✅ Nvidia is driving advancements for a healthier future in the pharma and healthcare landscape with Generative AI. https://ow.ly/STL850P5YtJ ✅ MeitY-nasscom CoE is all set to host an exclusive forum on the transformative power of AI in the healthcare domain.https://ow.ly/fmBH50P5YtE ✅ Scientists have developed an advanced genetic technology to combat malaria-spreading mosquitoes. This advancement brings us one step closer to eliminating malaria and saving millions of lives worldwide.https://ow.ly/GC4Y50P5YtF

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