Innovation and Technology
Big Data Returns
Big Data Needs AI; AI Needs Big Data
The Resurgence of Big Data
It’s that time of year again, when people publish their top-10 or top-20 lists of what to expect in the year ahead. As usual, rather than pile on with another list, I’m limiting my contribution to one compelling (or half-baked) trend for the year ahead.
Data is becoming more than the “new oil,” it is becoming the new money. Big data, which became a big deal about a decade ago as analytics hit center stage as the path to business success, faded a bit as big data suddenly was everywhere, making the term irrelevant. Over the past two years, amid all the excitement about generative AI, it almost seemed as if data — or attention to its quality and trustworthiness — took a back seat to all the jazzed-up illustrations and hyper-insightful insights generative AI was delivering.
The Importance of High-Quality Data
Now, with generative AI so critical to business, people are realizing that their AI foundations are built on piles of very loose sand. When AI “hallucinates,” it’s not because it’s mind is wandering, because it has no mind to speak of. It’s simply running probabilities to grab on to the next piece of available and related data to complete a narrative.
Running Out of Data
Now, there’s even concern that we’re starting to run out of data to feed the machines. “Most of the world’s publicly available data — whether it is obtained legally or not — has been exhausted,” said Andy Thurai, senior analyst with Constellation Research. When will the madness end, right?
The Synergistic Relationship between Big Data and AI
Big data and AI “have a synergistic relationship,” states a report out of Qlik. “Big data analytics leverages AI for better data analysis. In turn, AI requires a massive scale of data to learn and improve decision-making processes.” Big data will either make or break AI.
RAG Solutions and the Need for Trustworthy Data
At least 86% of executives report data-related barriers to AI, such as difficulties in gaining meaningful insights and issues with real-time data access, a survey of 1,000 IT executives out of Presidio finds. Half believe they plunged into gen AI before they were fully prepared. The venture capitalist community remains hot on AI, “but guess what? It’s going to take high quality, validated data that doesn’t traipse on privacy or data sovereignty,” Baer said.
The Importance of Open and Trusted Data
Consequently, there’s a growing emphasis on retrieval augmented generative (RAG) solutions, which form the bridge between standard databases and large language models, Baer said. The latest announcements out of the AI Alliance, a consortium of leading technology companies, emphasizes the need for establishing trustworthy data foundations.
Data for AI Must be Transparent, Trusted, Accurate, and Applicable Broadly
“Data is the most important constituent of AI models and systems, yet today data for AI too often has murky provenance, unclear licensing, and large gaps in quality and diversity of languages, modalities, and expert domains represented,” according to a statement announcing the AI Alliance’s Open Trusted Data Initiative.
Conclusion
In conclusion, big data will be back in the spotlight in 2025, as we need high-quality, trusted, and abundant data to power our AI models. The trend is clear: big data needs AI, and AI needs big data. With the increasing focus on open and trusted data, we can expect to see a surge in innovation and adoption in the coming year.
FAQs
Q: What is the relationship between big data and AI?
A: Big data and AI have a synergistic relationship, where big data analytics leverages AI for better data analysis, and AI requires a massive scale of data to learn and improve decision-making processes.
Q: Why is high-quality data important for AI?
A: High-quality data is essential for AI, as it enables accurate and reliable decision-making. Low-quality data can lead to hallucinations and flawed insights.
Q: What is the Open Trusted Data Initiative?
A: The Open Trusted Data Initiative is an initiative by the AI Alliance, a consortium of leading technology companies, to develop better requirements, processes, and tooling for curating high-quality, trustworthy, and open data sets.
Innovation and Technology
Building a Thriving Innovation Culture
Building an Ecosystem for Innovation
Introduction
To ensure their companies stay innovative, leaders need to create an ecosystem that allows winning ideas to consistently emerge. In two decades of strategy consulting and research, the authors have learned that building such an ecosystem requires developing capabilities for exploring new ideas, experimentation, accepting failure, and working with external partners.
Exploring New Ideas
The first step in building an innovative ecosystem is to encourage employees to explore new ideas. This can be achieved by:
* Providing a platform for employees to share their ideas and get feedback from others
* Offering training and development opportunities to help employees develop their creative skills
* Fostering a culture of experimentation and calculated risk-taking
Experimentation
Experimentation is a critical component of an innovative ecosystem. This involves:
* Encouraging employees to try new things and learn from both successes and failures
* Creating a culture that values experimentation and learning from failure
* Providing resources and support to help employees experiment and innovate
Accepting Failure
Accepting failure is an important part of the innovation process. It allows companies to learn from their mistakes and improve their approach. To accept failure, companies must:
* Encourage a culture of experimentation and calculated risk-taking
* Provide resources and support to help employees learn from their mistakes
* Celebrate the lessons learned from failure and use them to improve the innovation process
Working with External Partners
Working with external partners is another important aspect of building an innovative ecosystem. This can include:
* Collaborating with other companies, startups, and research institutions to access new knowledge and expertise
* Partnering with suppliers and customers to co-create products and services
* Engaging with the broader community to stay up-to-date with the latest trends and innovations
Conclusion
Building an ecosystem for innovation requires developing capabilities for exploring new ideas, experimentation, accepting failure, and working with external partners. By implementing these strategies, companies can create an environment that fosters innovation and allows winning ideas to consistently emerge.
FAQs
Q: What is the most important aspect of building an innovative ecosystem?
A: Encouraging employees to explore new ideas and experiment with new concepts is key to building an innovative ecosystem.
Q: How can companies accept failure in the innovation process?
A: Companies can accept failure by encouraging a culture of experimentation and calculated risk-taking, providing resources and support to help employees learn from their mistakes, and celebrating the lessons learned from failure.
Q: Why is working with external partners important in building an innovative ecosystem?
A: Working with external partners provides access to new knowledge and expertise, allows for co-creation of products and services, and helps stay up-to-date with the latest trends and innovations.
Innovation and Technology
Staying Connected: The Top Communication Tools for Hybrid and Remote Teams
In today’s fast-paced and constantly changing work landscape, staying connected with your team is more crucial than ever, especially for hybrid and remote teams. With the rise of flexible work arrangements and virtual collaboration, communication tools have become an essential component of success. In this article, we’ll explore the top communication tools that can help hybrid and remote teams stay connected, productive, and successful.
The Importance of Effective Communication
Effective communication is the lifeblood of any team, whether working together in-person or remotely. Without clear and open communication, teams can quickly become disorganized, frustrated, and ultimately, inefficient. In hybrid and remote teams, communication tools are essential for ensuring that all team members are on the same page, can access important information, and can collaborate seamlessly.
The Top Communication Tools for Hybrid and Remote Teams
### Video Conferencing Tools
* Zoom: A popular video conferencing platform that allows teams to hold virtual meetings and collaborate in real-time.
* Google Meet: A simple and easy-to-use video conferencing platform that integrates with Google Calendar.
* Microsoft Teams: A communication and collaboration platform that includes video conferencing capabilities.
### Instant Messaging Apps
* Slack: A popular instant messaging app that allows teams to communicate in real-time, share files, and collaborate on projects.
* Microsoft Teams: In addition to its video conferencing capabilities, Microsoft Teams also offers instant messaging and file-sharing features.
* Discord: A communication platform that’s popular among gamers, but also suitable for business use, with features such as voice and video chat, screen sharing, and file sharing.
### File Sharing and Storage
* Dropbox: A popular cloud storage service that allows teams to share and access files from anywhere.
* Google Drive: A cloud storage service that allows teams to store and share files, and integrates with Google Workspace apps.
* Microsoft OneDrive: A cloud storage service that allows teams to store and share files, and integrates with Microsoft 365 apps.
### Project Management Tools
* Trello: A visual project management tool that uses boards, lists, and cards to track and manage tasks and projects.
* Asana: A task and project management tool that allows teams to create and assign tasks, track progress, and collaborate.
* Basecamp: A comprehensive project management tool that includes features such as scheduling, time tracking, and file sharing.
### Virtual Event Platforms
* Hopin: A virtual event platform that allows teams to host webinars, conferences, and meetups with up to 10,000 attendees.
* Demio: A virtual event platform that offers features such as webinar hosting, attendee tracking, and analytics.
* BigMarker: A virtual event platform that allows teams to host webinars, conferences, and meetups with up to 10,000 attendees.
### Virtual Whiteboarding Tools
* Mural: A virtual whiteboarding tool that allows teams to collaborate and brainstorm in real-time.
* Google Jamboard: A digital whiteboard tool that allows teams to collaborate and brainstorm in real-time.
* Microsoft Whiteboard: A digital whiteboard tool that allows teams to collaborate and brainstorm in real-time.
### Communication Analytics Tools
* Mixmax: A communication analytics tool that provides insights on email engagement, meeting effectiveness, and more.
* Chartbeat: A communication analytics tool that provides insights on team activity, communication patterns, and more.
* Zoom Analytics: A communication analytics tool that provides insights on meeting activity, attendee engagement, and more.
Conclusion
Effective communication is essential for the success of any team, regardless of whether they’re working together in-person or remotely. The tools listed above are just a few examples of the many options available to help hybrid and remote teams stay connected and productive. By choosing the right communication tools, teams can improve collaboration, reduce misunderstandings, and achieve their goals. Whether you’re just starting to transition to hybrid or remote work, or are looking to enhance your existing team’s communication skills, these tools can help.
FAQs
**Q: What is the most popular communication tool for remote teams?**
A: The most popular communication tool for remote teams is Zoom.
**Q: What are the benefits of using a project management tool?**
A: The benefits of using a project management tool include improved organization, increased productivity, and enhanced collaboration.
**Q: Can I use a video conferencing tool for personal or professional use?**
A: Yes, most video conferencing tools can be used for both personal and professional use.
**Q: How can I determine which communication tool is best for my team?**
A: You can determine which communication tool is best for your team by considering factors such as team size, communication needs, and technology infrastructure.
Innovation and Technology
Record-Breaking DDoS Cyberattack
Cloudflare Mitigates Largest DDoS Attack on Record
Cloudflare has mitigated the biggest distributed denial of service (DDoS) attack on record, according to a new report. The DDoS attack, which hit an East Asia-based telecoms firm last year, reached 5.6 terabits per second (Tbps) and lasted for 80 seconds. It was comprised of a botnet of 13,000 devices taken over by the Mirai malware, according to Cloudflare’s blog.
DDoS Attacks — Growing In Number And Getting Faster
DDoS attacks are increasingly common. Last year, Microsoft confirmed that an Azure outage on July 30 lasting nearly 10 hours was triggered by a distributed denial of service cyberattack. Overall, Cloudflare blocked around 21.3 million DDoS attacks in 2024, a 53% increase on 2023. The number of DDoS attacks exceeding 1 Tbps grew 1,885% in Q4 from Q3.
Ransom DDoS Is On The Rise
In the final quarter of 2024, Cloudflare observed a surge in Ransom DDoS attacks, where adversaries try to extort money by threatening to take down their targets’ web properties or networks. China maintained its position as the most attacked country.
Conclusion
As DDoS attacks surge, causing outages and worse, it’s important to get the cybersecurity basics right. Understand your service, the risks associated with losing access to it, and ensure you are as resilient as possible to avoid being hit in the first place.
Frequently Asked Questions
- What is a DDoS attack?
- A DDoS attack is a type of cyberattack where a website or service is flooded with traffic, making it unusable.
- What is Mirai malware?
- Mirai is a type of malware that takes control of devices, such as IoT devices, to launch DDoS attacks.
- How does Cloudflare mitigate DDoS attacks?
- Cloudflare uses its distributed defense systems to detect and mitigate DDoS attacks autonomously, without human intervention.
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