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Once forced to search through lists of resources and decipher descriptive text, we now want immediate, actionable insights. Large Language Models (LLMs) have provided a significant step forward, granting access to vast amounts of information and identifying key points. However, the true potential lies in using both LLMs and Generative AI. We can uncover hidden patterns and correlations by incorporating numerical and transactional data. Consider the ability to analyze contract data alongside customer behavior, revealing insights into product usage and customer preferences. This integration is reshaping the data engineering landscape, demanding innovative approaches to harnessing these technologies' full potential. How can organizations effectively combine LLMs and Gen AI to drive data-driven decision-making? #ChatGPT #OpenAI #LLM Video Production by GrowthMatch

I once asked a very successful woman to share her secret with me. She smiled and said to me.. “I started succeeding when I started leaving small fights for small fighters: I stopped fighting those who gossiped about me… I stopped fighting for attention… I stopped fighting to meet the public’s expectation of me… I stopped fighting for my rights with silly people… I stopped fighting for validation from those people who didn’t see my worth and my value… I left such fights for those who have nothing else to fight… And I started fighting for my vision, my dreams, my aspirations, my goals, my ideas and my destiny. 👏🏾👏🏾👏🏾 The day I gave up on small fights is the day I started becoming successful.” Some fights are not worth your time. Choose what you fight for wisely. Not all battles should be fought - you are expending your energy and spreading yourself too thin fighting all these battles. Sometimes - you must be willing to loose the battles in order to win the war! 👌🏾🙌🏽 Focus on your purpose! 💫 #lifechanginglerato

The startup life — it's not about doing every task perfectly. You have to keep being confident, no matter what. As long as you're giving your all, there's no need to chase some unrealistic perfection. Doubt and a lack of confidence can snowball into negativity. Think of it like a shark — constant forward momentum keeps you moving ahead and making the necessary progress. It's a balancing act, for sure, and very much a mindset. You need to keep your team motivated, pushing towards that common goal. It's the same with potential sales — you want them to feel good about working with you. The reality is that choosing a small company is a leap of faith for any established business. You have to make them feel comfortable with that decision. You can sell it when you project confidence. You show customers you know what you're doing. What are your best strategies for maintaining confidence in the face of startup challenges? #BusinessConfidence #BusinessOptimism #Optimism

Sure you need data and insights to inform your decisions, but you don't need ALL the data. Data can easily become a burden, both emotionally and practically. Everyone's busy. Crunching through data is not how most can afford to spend their day. Data - both the lack of and an abundance of it - is also causing anxiety: "I'm deeply afraid that somewhere, there is more data I could have gathered and looked at before making a decision". This results in delaying action, sitting on a decision, and making no progress at all. Research without action is just a cost. There's a time and place for caution—like when you're pondering a pivot—but most decisions have far fewer consequences and are easily reversible. Research doesn't need to answer every question. A single insight can be enough. If you're running a survey with more than 10-15 questions, you're already likely trying to do too much. Analysis paralysis awaits. Be less scared of imprecision. Decide on one to three business questions to answer per research initiative. Get the data and insights tomorrow, and make a decision the next day. New-era research tools like Wynter are made for this. Decision-making is progress.

Encryption technology only works if you are constantly updating and maintaining it. Failure to adopt and implement the latest encryption standards exposes organizations to significant risks. High-profile breaches involving deprecated software underscore the severity of this issue, which affects both small and large enterprises. Establishing processes for identifying and addressing outdated encryption technologies is essential. Organizations can significantly reduce their attack surface by proactively updating and retiring obsolete systems. Regular audits and assessments of encryption practices are crucial for maintaining a strong security posture. By staying ahead of emerging threats, organizations can protect sensitive data and build trust with customers and stakeholders. Is your organization maintaining your encryption technology? #Encryption #EncryptionTechnology #AttackSurface Video Production by GrowthMatch