Which technologies do you see as most promising for the future?


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VP Product and Growth in Software, Self-employed
Any technology that improves release velocity in this digital first age has a birght future.

For example, in the era of software quality assurance, technologies around smart test execution and efficient test orchestration are gaining traction.

Practical enterprise scale applications of AI in things like auto test healing, intelligent test selection, and accurate root cause analysis is something all QA tools are working on.
Legal Operations Counsel & Innovation Strategist in Services (non-Government), 10,001+ employees
AI - there are so many use cases (if used responsibly).
1
Director of Data Architecture in Media, 5,001 - 10,000 employees
Data Contracts and Open Table Formats, both will contribute heavily to high scale and high quality ML and AI Apps .
CEO in Software, 11 - 50 employees
🚚 Exciting Technologies Reshaping Supply Chain 🌐

In the dynamic world of supply chain management, innovative technologies are driving transformative changes, enhancing efficiency, and optimizing operations. Here are some of the most promising technologies and their key applications:

1. Internet of Things (IoT) 📡:
IoT sensors are revolutionizing supply chains by providing real-time tracking and monitoring of goods. From temperature-sensitive pharmaceuticals to perishable foods, IoT ensures product integrity throughout the entire supply chain.

2. Blockchain Technology 🧱:
Blockchain offers a transparent and secure platform for tracking and recording transactions. It streamlines supply chain processes, reducing paperwork, and improving traceability, especially in industries like food, luxury goods, and pharmaceuticals.

3. Artificial Intelligence (AI) 🤖:
AI-powered predictive analytics optimize inventory management and demand forecasting. It enhances route optimization, reducing transportation costs, and enables better risk management in supply chain disruptions.

4. Robotics and Automation 🤖:
Automated warehouses with robotic systems speed up order fulfillment and reduce human errors. Manufacturing industries benefit from robotic automation, leading to increased productivity and consistency.

5. 5G Connectivity 📶:
With ultra-fast and low-latency connections, 5G enables real-time data exchange across the entire supply chain. It facilitates efficient communication between stakeholders, leading to faster decision-making.

6. Drones 🛩️:
Drones are revolutionizing last-mile deliveries, especially in remote or congested areas. They bring rapid and cost-effective solutions to deliver packages and collect data for inventory management.

These technologies are unlocking unprecedented possibilities, empowering supply chain professionals to adapt swiftly to market demands, increase sustainability, and elevate customer experiences. Embracing these innovations will undoubtedly drive businesses towards a more agile and future-ready supply chain ecosystem. 🚀 #SupplyChain #Technology #Innovation #Logistics
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Director of BI & Insights in Services (non-Government), 1,001 - 5,000 employees
From the perspective of Business Intelligence & Data Analytics sector, there are a couple of technologies that really stand out and hold immense promise for the future:

>Artificial Intelligence and Machine Learning (AI/ML): Both technologies enable us to extract insightful patterns and findings from vast amounts of data, automate complex tasks, and predict future trends with high accuracy. 

>Advanced Data Visualisation Tools: Long gone is the era of Excel. Nowadays the evolution of data visualization tools, including interactive dashboards and being able to ask questions in natural language allow us to present data in much more engaging and actionable ways. 

>Natural Language Processing (NLP): NLP has been a buzzword for a long time, but it's only since the launch of chatGPT and OpenAI's initiative that we are now able to extract insights from unstructured data, such as text documents, social media, and customer reviews. Using NLP capabilities, we can gain a deeper understanding of customer sentiments, market trends, and competitive landscapes.

In my opinion, although there are buzzwords flying around (VR, blockchain, Digital Revolution etc), the aforementioned technologies can skyrocket the performance of a data analytics department.

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CTO in Software, 11 - 50 employees
No, we haven't published corporate guidance establishing guardrails for use of commercial generative AI services.
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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
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