Steve S’ Post

🚀 𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗖𝗵𝗲𝗺𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 🧪 The field of cheminformatics is advancing rapidly, but many organizations still struggle with managing complex chemical data and unlocking its full potential. At BisSoft, we specialize in providing cutting-edge software solutions that streamline data management, integrate AI and machine learning, and drive real results for R&D teams. Our tailored tools help organizations: ✅ Seamlessly integrate diverse chemical data sources ✅ Leverage advanced algorithms for predictive modeling ✅ Simplify complex analyses with intuitive platforms ✅ Customize solutions to fit specific research needs Are you looking to boost your cheminformatics capabilities and speed up innovation? Let’s chat! Feel free to reach out or book a call with me. #Cheminformatics #AI #MachineLearning #Innovation #DataScience #R&D #BisSoft

🚀 Okay, so you're a small to medium business and want to embrace AI? Focus on Data!! 📊 For SMEs, diving into the world of AI can be transformative. But how do you begin? The key lies in **quality data**. Without it, AI systems can't function effectively. 🔑 Here’s what you need: 1. **Robust Data Management**: Invest in the right infrastructure for data collection, storage, and processing. 2. **Analytical Tools & Expertise**: Equip your team with tools and training to turn data into actionable insights. 3. **Strategic AI Use Cases**: Identify AI applications that align with your business goals to maximize impact. Harnessing the power of AI isn’t just for the big players. SMEs can leverage AI to drive innovation and growth. Start with a solid data foundation, and the possibilities are endless! 🌟 Of course, some of this can be opaque, confusing, and overly technical. Send us a message, and we'll get you started (for free). #AI #SMEs #DataDriven #Innovation #BusinessGrowth #ArtificialIntelligence

*People ask me: what are you working on nowadays?* I am working on the following four. These are intimately related to each other: 1. Strategy to deploy AI into large complex organizations  2. Data governance in a large complex organization 3. Creating digital twins of large complex organizations: these include digital twins of operational assets and facilities, digital twins of organizational processes, and digital twins of decision making channels (includes decision makers- the reasoning humans) 4. Injecting secure and explainable AI into the above digital twins: this includes building and advancing the mathematics that underlies explainable AI, and implementing it at all levels of the data pipelines and digital twin design. Why do all of this? To drive efficiencies, to make automated and streamlined decision making trustworthy and explainable, to leverage multiple integrated technologies, to advance AI, math, and digital twins technologies all at the same time. You want to help? Let me know ;)  Photo: Ann Arbor- MI. At a best friend’s wedding

🚀 Ready to dive into the world of Artificial Intelligence? Here's what you need to know to navigate the AI landscape successfully! 🧠💡 🔹 **Data Quality** - Start with clean, accurate data. 🔹 **Solid Infrastructure** - Essential for handling large-scale computations. 🔹 **Smart Algorithms** - Choose the right one for your specific needs. 🔹 **Skilled Team** - A blend of data scientists and engineers. 🔹 **Ethics & Compliance** - Keep your AI transparent and unbiased. 🔹 **Seamless Integration** - Smoothly incorporate AI with existing systems. 🔹 **User Experience** - Aim for intuitive and adaptable interfaces. 🔹 **Continuous Improvement** - Always keep your AI systems up-to-date. 🔹 **Robust Governance** - Clearly define roles and handle risks effectively. How is your business preparing to integrate AI? What challenges are you anticipating, or what success stories can you share? Let's discuss the future of AI in business! 👇 #ArtificialIntelligence #AITechnology #BusinessStrategy #ForbesTechnologyCouncil #Innovation

🔬 My Thoughts on Cheminformatics and Innovation 🧠 As I continue my journey in the cheminformatics space, I see a huge potential for organizations to truly harness the power of data. Yet, I’ve noticed that many teams still face challenges in streamlining their workflows, managing complex datasets, and tapping into predictive insights. At BisSoft, we’ve been working hard to bridge that gap with tailored software solutions that integrate AI, machine learning, and user-friendly interfaces. Our goal is simple: make chemical data more accessible and actionable, so researchers can focus on the breakthroughs that matter. For me, it’s all about creating real impact—helping teams work smarter, not harder. If you’re looking to improve your cheminformatics processes or just want to explore how advanced software can help, I’d love to connect and discuss potential synergies. Let’s drive innovation together! 🚀 #Cheminformatics #Innovation #DataScience #AI #MachineLearning #R&D #Efficiency

𝗕𝗮𝗱 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: "Adopting AI technologies without aligning them to broader data and business strategies." 𝗚𝗼𝗼𝗱 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: "Developing a comprehensive data strategy that encompasses AI initiatives and aligns with organizational goals and objectives." 𝗕𝘂𝘁 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗱𝗮𝘁𝗮 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆? It's simply how your organization uses data to execute on your objectives, goals, strategies, and plans.

The Wall Street Journal https://lnkd.in/ez8GceWM It’s Time for AI to Start Making Money for Businesses. Can It? By  Isabelle Bousquette July 10, 2024 7:00 am ET A quote to consider from this interesting Journal article "Corporate technology leaders across industries have been spending big on generative artificial intelligence over the past year. Now, they’re looking for returns to go beyond efficiency gains to actual dollars and cents, even as many admit it isn’t clear if and when they’ll start seeing them." Ask yourself will the dollar and cent start coming in with improved effieciency claim by AI vendors ? It seems revenue generation has overtaken productivity as the new measure for AI ROI. The article is work the read #WSJ #AI #Revenue #Productivity

Our 4-step journey to your success! From identifying hurdles to precise data handling, deep analysis, and phased AI implementation, our approach ensures triumph. Ready to transform your business landscape? Let's start your journey! . . . #ourprocess #companyapproach #businesssuccess #successroadmap #dataengineering #cloudcomputing #artificialintelligenceforbusiness #dataaiengine

🚀 Is your organization leveraging AI to boost revenue? Revenue generation is becoming the new yardstick for AI success across industries like retail and financial services. AI isn't just about efficiency anymore—it's about driving revenue. As corporate technology leaders ramp up investments in generative AI, the focus has shifted to tangible financial impacts. #AI #GenerativeAI #DigitalTransformation #RevenueGeneration

🚀 Let's Talk About AI in Data Analysis! 🚀 AI is transforming every industry, and data analysis is no exception. From uncovering hidden patterns to automating complex processes, AI is redefining how we handle data. But what does the future hold? 🔹 Advanced Pattern Recognition: AI can detect intricate patterns in large datasets, revealing insights that were previously impossible to uncover. 🔹 Predictive Modeling: AI enables us to create models that predict future trends and outcomes, enhancing strategic planning and decision-making. 🔹 Automation of Data Processing: Streamline data cleaning, integration, and analysis by automating routine tasks, allowing analysts to focus on interpreting results. 🔹 Enhanced Data Visualization: AI-powered tools can create dynamic and interactive visualizations, making it easier to understand and communicate findings. 🔹 Real-Time Analytics: AI can process and analyze data in real time, providing instant insights and enabling swift, informed actions. What do you think? How do you believe AI will shape the future of data analysis? Let's spark a conversation! Share your thoughts, experiences, and predictions in the comments below. Follow Sweta Thakur #AIinDataAnalysis #FutureOfData #DigitalTransformation #DataScience #AITrends #TechInData #PredictiveAnalytics #DataAutomation #RealTimeAnalytics #AdvancedDataAnalysis