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By:

Divyaa Advaani 

2 November 2024 at 8:58:38 am

Being Liked Is Not Branding

AI Generated Image Think of someone specific you met in the last six months who seemed genuinely interested in connecting further. The conversation was warm. There was energy in it. They said all the right things — let us stay in touch, I would love to explore this further, I will reach out next week. And then they did not. Not because they were rude or dismissive. Not because something went wrong. But because by the time next week arrived, you had simply faded. This is one of the most...

Being Liked Is Not Branding

AI Generated Image Think of someone specific you met in the last six months who seemed genuinely interested in connecting further. The conversation was warm. There was energy in it. They said all the right things — let us stay in touch, I would love to explore this further, I will reach out next week. And then they did not. Not because they were rude or dismissive. Not because something went wrong. But because by the time next week arrived, you had simply faded. This is one of the most quietly expensive things that happens to accomplished founders — and almost none of them know it is happening. Being liked is not the same as being remembered. Being remembered is not the same as being recalled at the right moment. And being recalled at the right moment is the only version of any of this that actually creates business. The gap between a pleasant first impression and a phone call that begins with "I immediately thought of you" is not filled by warmth or competence or even a genuinely great conversation. It is filled by a personal brand strong enough to occupy a specific, distinct place in someone's mind long after the meeting has ended. Here is what most founders are not told. When someone leaves a conversation thinking "what a lovely person" they have given you a compliment. When they leave thinking "she is exactly the person I would call if I ever needed to solve this specific problem for someone I care about" they have given you a business. The difference between those two outcomes is not how much they liked you. It is how clearly they understood what you stand for and who you are for. Most accomplished founders are genuinely likeable. Many are impressive. Very few are specific enough to be recalled at the moment an opportunity arises. They exist in the minds of their network as pleasant, capable, talented — and entirely interchangeable with the other pleasant, capable, talented people those same contacts met last month. That interchangeability is costing you more than you realise. Every time someone in your network encounters an opportunity that should be yours and instead recommends someone else — not because they like that person more, but because that person's name surfaced first and most clearly — your brand has failed at its most fundamental job. The founders who get called first are not always the most qualified. They are the most memorable. Not memorable in the sense of flashy or loud or relentlessly present online. Memorable in the sense that when a specific need arises, a specific face and a specific name and a specific value proposition surface together, clearly and immediately, without the contact having to work to reconstruct who you are and what you do. That kind of memorability is not an accident of personality. It is the result of a personal brand built with enough clarity, consistency and intention that it leaves a distinct impression rather than a pleasant but general one. It is the difference between being someone people enjoyed meeting and being someone people think of when it counts. Think about your own network right now. When an opportunity arises that is perfect for you — do the right people think of you immediately? Or do they think of you eventually, after they have already recommended someone else, and feel a pang of recognition that they should have called you first? If it is the second — your brand is not broken. It is just not specific enough yet. And that is entirely fixable. I work with founders on exactly this — building a personal brand clear and consistent enough that the right people think of them first, not eventually. If you are ready to stop being the person people liked and start being the person they call, book your consultation call with me on this link: https://www.calendly.com/divyaaadvaani/founder-brand-audit — Divyaa Advaani, Personal Branding Strategist (The author is a personal branding expert. She has clients from 14+ countries. Views personal.)

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Writer: Dr. Ramnath Babu T J
Dr. Ramnath Babu T J
Nov 7, 2024
3 min read

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

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