The Inverted pyramid: A foundation for Clarity
Table of Contents
- The Inverted pyramid: A foundation for Clarity
- Active Voice: Engaging and Direct
- Objectivity and accuracy: The Pillars of Journalism
- Dos and don’ts of Journalism
- Crafting a Compelling Narrative
- Calls to Action: engaging Your audience
- Final Thoughts
- What is agentic AI?
- The unique security risks of agentic AI
- How to improve AI agent cybersecurity
- As cybersecurity advances, so must cybersecurity strategies
- Key Trends in Data Journalism
- Building a Cloud Commerce Community
- Ethics and Integrity in Reporting
- Guest Contributions and Thought Leadership
- Key Highlights of the VentureBeat Community
- Join the Conversation
- Why DataDecisionMakers Matters
- Key Features of DataDecisionMakers
- Join the Movement
- Key Trends in Data and analytics
- Why VentureBeat?
- Benefits of Contributing
- How to Get Started
- Key Takeaways
- Final Thoughts
Active Voice: Engaging and Direct
Using active voice is another hallmark of effective news writing. Active voice makes sentences more direct and engaging, helping readers connect with the story. Instead of writing, “The decision was made by the committee,” a journalist might say, “The committee made the decision.” This subtle shift keeps the narrative dynamic and reader-focused. Objectivity and accuracy: The Pillars of Journalism
News writing is inherently objective and expository, focusing on reporting facts rather than offering opinions. This requires thorough inquiry, including gathering quotes, data, and firsthand accounts to ensure accuracy.As noted in a guide on news writing, “This type of writing is usually objective and expository, reporting and explaining the facts of an event rather than providing an opinion or analysis” [[2]].Dos and don’ts of Journalism
To excel in news writing,it’s essential to follow best practices while avoiding common pitfalls. here’s a fast summary of key dos and don’ts: | Do | Don’t | |———————————-|——————————–| | Use the inverted pyramid structure | Overload the article with jargon | | Write in active voice | Rely on passive constructions | | Verify facts and sources | Publish unverified information | | Keep sentences concise | Use overly complex language | Crafting a Compelling Narrative
While news writing prioritizes facts,it doesn’t have to be dry or monotonous. Varying sentence lengths and incorporating descriptive details can create a dynamic reading experience. As an example, a short, impactful sentence like “The storm devastated the coastal town” can be followed by a more elaborate description of the aftermath, immersing the reader in the story.Calls to Action: engaging Your audience
Encouraging reader engagement is a vital aspect of modern journalism. Whether it’s prompting readers to share their thoughts in the comments or directing them to related articles, strategically placed calls to action can foster a deeper connection with your audience. Final Thoughts
Mastering news writing requires a blend of technical skill and creative storytelling. by employing techniques like the inverted pyramid, active voice, and thorough fact-checking, you can craft articles that inform, engage, and resonate with readers. For more insights into journalism best practices, explore resources like Vaia’s guide to news writing [[1]]or Writer’s Digest’s journalism tips [[3]]. Now, it’s your turn to put these techniques into practice. What’s the next story you’ll tell?AI is changing the way businesses operate. While much of this shift is positive, it introduces some unique cybersecurity concerns. Next-generation AI applications like agentic AI pose a particularly noteworthy risk to organizations’ security posture.
What is agentic AI?
Agentic AI refers to AI models that can act autonomously, often automating entire roles with little to no human input. Advanced chatbots are among the most prominent examples, but AI agents can also appear in applications like business intelligence, medical diagnoses and insurance adjustments.
In all use cases, this technology combines generative models, natural language processing (NLP) and other machine learning (ML) functions to perform multi-step tasks independently. It’s easy to see the value in such a solution. Understandably,Gartner predicts that one-third of all generative AI interactions will use these agents by 2028.
The unique security risks of agentic AI
Agentic AI adoption will surge as businesses seek to complete a larger range of tasks without a larger workforce. As promising as that is, though, giving an AI model so much power has serious cybersecurity implications.
AI agents typically require access to vast amounts of data. Consequently, they are prime targets for cybercriminals, as attackers could focus efforts on a single request to expose a considerable amount of information. It would have a similar effect to whaling — which led to $12.5 billion in losses in 2021 alone — but may be easier, as AI models could be more susceptible than experienced professionals.
Agentic AI’s autonomy is another concern. While all ML algorithms introduce some risks, conventional use cases require human authorization to do anything with their data. Agents, on the other hand, can act without clearance. As a result, any accidental privacy exposures or mistakes like AI hallucinations may slip through without anyone noticing.
This lack of supervision makes existing AI threats like data poisoning all the more hazardous. Attackers can corrupt a model by altering just 0.01% of its training dataset, and doing so is possible with minimal investment.That’s damaging in any context, but a poisoned agent’s faulty conclusions would reach much farther than one where humans review outputs first.
How to improve AI agent cybersecurity
In light of these threats, cybersecurity strategies need to adapt before businesses implement agentic AI applications. Here are four critical steps toward that goal.
1. Maximize visibility
the first step is to ensure security and operations teams have full visibility into an AI agent’s workflow. Every task the model completes, each device or app it connects to and all data it can access should be evident. Revealing these factors will make it easier to spot potential vulnerabilities.
Automated network mapping tools may be necessary here. Only 23% of IT leaders say they have full visibility into their cloud environments and 61% use multiple detection tools, leading to duplicate records. Admins must address these issues first to gain the necessary insight into what their AI agents can access.
Employ the principle of least privilege
Once it’s clear what the agent can interact with, businesses must restrict those privileges. The principle of least privilege — which holds that any entity can only see and use what it absolutely needs — is essential.
Any database or application an AI agent can interact with is a potential risk. Consequently, organizations can minimize relevant attack surfaces and prevent lateral movement by limiting these permissions as much as possible. Anything that does not directly contribute to an AI’s value-driving purpose should be off-limits.
Limit sensitive information
Similarly, network admins can prevent privacy breaches by removing sensitive details from the datasets their agentive AI can access. Many AI agents’ work naturally involves private data. More than 50% of generative AI spending will go toward chatbots, which may gather information on customers. Though, not all of these details are necessary.
While an agent should learn from past customer interactions,it does not need to store names,addresses or payment details. Programming the system to scrub unneeded personally identifiable information from AI-accessible data will minimize the damage in the event of a breach.
Watch for suspicious behavior
Businesses need to take care when programming agentive AI, too. Apply it to a single, small use case first and use a diverse team to review the model for signs of bias or hallucinations during training. When it comes time to deploy the agent, roll it out slowly and monitor it for suspicious behavior.
Real-time responsiveness is crucial in this monitoring,as agentive AI’s risks mean any breaches could have dramatic consequences. thankfully, automated detection and response solutions are highly effective, saving an average of $2.22 million in data breach costs. Organizations can slowly expand their AI agents after a successful trial, but they must continue to monitor all applications.
As cybersecurity advances, so must cybersecurity strategies
AI’s rapid advancement holds significant promise for modern businesses, but its cybersecurity risks are rising just as quickly. Enterprises’ cyber defenses must scale up and advance alongside generative AI use cases. Failure to keep up with these changes could cause damage that outweighs the technology’s benefits.
Agentive AI will take ML to new heights, but the same applies to related vulnerabilities. While that does not render this technology too unsafe to invest in, it does warrant extra caution. Businesses must follow these essential security steps as they roll out new AI applications.
Zac Amos is features editor at ReHack.
Key Trends in Data Journalism
| Trend | Description | |——————————–|———————————————————————————| | Collaboration | Increased partnerships between journalists and academics for data-driven work. | | Innovation | Use of news apps, visualizations, and interactive tools to enhance storytelling.| | Precision Journalism | Emphasis on accuracy and depth through data analysis. | | Explanatory Journalism | Focus on making complex data accessible and understandable to the public.| As the field continues to evolve, the integration of data into journalism offers unprecedented opportunities for storytelling and public engagement. Whether through collaborative projects or innovative tools, the future of journalism is undeniably data-driven. For those eager to explore this transformation further, the Data Handbook 2 is an invaluable resource [[3]]. What’s next for data journalism? The possibilities are endless, and the journey is just beginning. Dive into the world of data-driven storytelling and discover how it’s reshaping the way we understand the world. Welcome to the VentureBeat Community: A Hub for Innovation and Collaboration The VentureBeat community is a thriving network for tech enthusiasts,entrepreneurs,and innovators who are passionate about cutting-edge technology and its impact on our lives. As a media company, VentureBeat is dedicated to covering the most innovative companies and the incredible people behind them, providing insights into how technology shapes our world.Building a Cloud Commerce Community
One of the key focuses of VentureBeat is the cloud commerce community,which emphasizes the importance of continuous,ongoing assistance for customers and participants.In a network-driven cloud community, collaboration and support are essential for success.”Lots of companies are reaching for the cloud,” highlighting the growing trend of businesses leveraging cloud technology to enhance their operations and customer experiences [[1]].Ethics and Integrity in Reporting
VentureBeat’s commitment to ethical journalism is unwavering. Their ethics statement underscores their dedication to covering technology in a way that matters, ensuring clarity and integrity in every story. “VentureBeat is a media company obsessed with covering amazing technology and why it matters in our lives,” reflecting their mission to deliver meaningful content [[2]].Guest Contributions and Thought Leadership
For those looking to share their expertise, VentureBeat offers opportunities for guest posts. While publishing on VentureBeat isn’t easy, their op-ed channels are receptive to high-quality contributions.”VentureBeat isn’t exactly the easiest site to publish a guest post on, but their op-ed channels are surprisingly receptive to quality news contributions,” making it a valuable platform for thought leaders [[3]].Key Highlights of the VentureBeat Community
| aspect | Details | |—————————|—————————————————————————–| | Focus Areas | cloud commerce, innovative companies, ethical journalism | | Guest Contributions | Receptive to high-quality op-eds and news contributions | | Mission | Covering technology that matters in our lives | Join the Conversation
The VentureBeat community is more than just a platform—it’s a movement. Whether you’re a tech enthusiast, a business leader, or a curious reader, there’s a place for you here. Explore their insights, contribute your expertise, and be part of a community that’s shaping the future of technology. Welcome to the VentureBeat community—where innovation meets collaboration. Unlocking the Power of Data: Insights from DataDecisionMakers In today’s data-driven world, the ability to harness and interpret data is more critical than ever. For experts and technical professionals, sharing insights and innovations is key to advancing the field. Enter datadecisionmakers, a platform designed to bring together the brightest minds in data work to exchange ideas and drive progress. “DataDecisionMakers is where experts, including the technical people doing data work, can share data-related insights and innovation.” This statement encapsulates the essence of the platform, which serves as a hub for collaboration and knowledge-sharing. whether you’re a seasoned data scientist or a newcomer to the field, DataDecisionMakers offers a space to learn, grow, and contribute to the ever-evolving world of data. Why DataDecisionMakers Matters
The platform is more than just a forum—it’s a community. By fostering connections between professionals, it enables the exchange of cutting-edge ideas and practical solutions. This collaborative habitat is essential for tackling complex challenges and pushing the boundaries of what’s possible with data. For those looking to stay ahead of the curve, DataDecisionMakers provides access to the latest trends and innovations. From advanced analytics to groundbreaking methodologies, the platform is a treasure trove of insights for anyone passionate about data.Key Features of DataDecisionMakers
To better understand the value of this platform, here’s a breakdown of its core offerings: | Feature | Description | |—————————|———————————————————————————| | Expert Insights | Access thought leadership and practical advice from industry leaders. | | Innovation Sharing | Discover new tools, techniques, and approaches to data work. | | Community Collaboration | Connect with peers to solve problems and share knowledge. | | resource Hub | Explore a wealth of materials to enhance your data skills. | Join the Movement
If you’re ready to take your data expertise to the next level, datadecisionmakers is the place to be. By joining this vibrant community, you’ll gain access to invaluable resources and opportunities to collaborate with like-minded professionals. Don’t miss out on the chance to be part of a platform that’s shaping the future of data work. Visit DataDecisionMakers today and start sharing your insights and innovations with the world. The power of data lies in its ability to inform, inspire, and innovate.With DataDecisionMakers, you can be at the forefront of this transformative movement. The Future of Data and Analytics: trends Shaping 2024 and Beyond The world of data and analytics is evolving at an unprecedented pace, driven by the rapid advancements in AI and generative AI (GenAI). According to Gartner, these technologies are not just transforming how we work but also reshaping collaboration and operational processes. “The power of AI, and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate,” said Ramke Ramakrishnan, VP Analyst at Gartner [1]. As we move further into 2025, the focus on measurable business value has become a cornerstone for data and AI leaders. A recent survey highlighted that 36% of these leaders now report directly to top executives like the CEO, president, or COO. This shift underscores the growing recognition of the strategic importance of data science and AI in driving organizational success [2]. The year 2024 was marked by frenetic innovation in information management, with cloud services, AI agents, and cybersecurity emerging as top areas of interest. This momentum is expected to continue throughout 2025, as organizations strive to stay ahead in an increasingly competitive landscape [3].Key Trends in Data and analytics
| trend | Description | |————————–|———————————————————————————| | Generative AI | Revolutionizing workflows and collaboration through advanced AI capabilities. | | business Value Focus | Data and AI leaders prioritizing measurable outcomes for organizational growth. | | Cloud Services | Increasing reliance on cloud platforms for scalability and innovation. | | Cybersecurity | Heightened focus on securing data in an AI-driven environment. | For those eager to stay ahead of the curve, DataDecisionMakers offers a wealth of insights into cutting-edge ideas, best practices, and the future of data tech. Join the community to explore the latest developments and make informed decisions in this dynamic field. The journey of data and analytics is far from over. As AI continues to evolve, so too will the ways we harness its potential. Stay informed, stay engaged, and be part of the transformation. How Contributing to VentureBeat Can Elevate Your Thought Leadership In today’s fast-paced digital landscape, establishing yourself as a thought leader requires more than just expertise—it demands visibility. One powerful way to achieve this is by contributing an article to platforms like VentureBeat, a leading source for transformative tech news and insights. VentureBeat has long been a trusted resource for professionals seeking cutting-edge analysis on topics ranging from artificial intelligence to blockchain. By contributing an article, you not only share your unique viewpoint but also position yourself as an authority in your field.Why VentureBeat?
VentureBeat’s audience comprises industry leaders, innovators, and decision-makers who are shaping the future of technology. Writing for such a platform allows you to connect with a highly engaged community, amplifying your voice and expanding your professional network. “You might even consider contributing an article of your own!” This simple yet impactful statement underscores the accessibility of this opportunity. Whether you’re a seasoned expert or an emerging voice, VentureBeat welcomes diverse perspectives that drive meaningful conversations.Benefits of Contributing
- Enhanced Credibility: Publishing on a reputable platform like VentureBeat instantly boosts your professional credibility.
- Increased Visibility: Your insights reach a global audience, including potential collaborators, clients, and employers.
- Thought leadership: Sharing your expertise positions you as a go-to resource in your niche.
How to Get Started
If you’re ready to take the leap, contributing an article is straightforward. Visit VentureBeat’s guest posts page to learn more about their submission guidelines and editorial standards. Craft a compelling pitch that aligns with their focus areas,and you could soon see your work featured alongside industry leaders.Key Takeaways
| Aspect | Details | |————————–|—————————————————————————–| | Platform | VentureBeat | | Audience | Tech professionals, innovators, and decision-makers | | Benefits | Credibility, visibility, thought leadership | | How to Contribute | Visit VentureBeat’s guest posts page for submission guidelines |Final Thoughts
In a world where content is king, contributing an article to a platform like venturebeat is a strategic move for anyone looking to elevate their professional profile. Don’t just follow the conversation—lead it.Ready to share your insights? Explore VentureBeat’s guest posts section today and take the first step toward becoming a recognized thought leader in your field. Unlocking the Power of Data-Driven Decision Making in 2025 In today’s fast-paced business landscape, organizations are increasingly turning to data-driven decision making to stay competitive and achieve their goals. This process, which involves leveraging data insights, analysis, and evidence to guide strategic and operational choices, has become a cornerstone of modern business strategy. At its core, data-driven decision making is about transforming raw data into actionable insights. It begins with data collection, where businesses gather relevant information from various sources. This data is then interpreted and analyzed to identify patterns, trends, and opportunities. By doing so, organizations can make informed choices that align with their objectives and drive growth.One of the key benefits of this approach is its ability to reduce uncertainty.Instead of relying on intuition or guesswork,decision-makers can base their strategies on concrete evidence. This not only enhances accuracy but also fosters confidence in the decisions being made. To better understand the process, let’s break it down into its essential components: | Component | Description | |————————|———————————————————————————| | Data Collection | Gathering relevant data from various sources to ensure comprehensive insights. | | Data Interpretation| Analyzing the collected data to uncover patterns and trends.| | Decision Making | Using the insights gained to guide strategic and operational choices. | Such as, companies like Atlan are helping businesses unlock their data’s potential by providing tools that streamline the data-driven decision-making process.Their solutions enable organizations to collect, analyse, and interpret data more efficiently, ensuring that every decision is backed by solid evidence. The importance of this approach is further highlighted by the latest DataDecisionMakers news from VentureBeat, which provides in-depth analysis and insights into how transformative technologies are shaping the future of decision-making. As we move further into 2025, the role of data-driven decision making will only continue to grow. Organizations that embrace this approach will be better equipped to navigate the complexities of the modern business world and achieve long-term success. To stay updated on the latest trends and insights, be sure to Read More From DataDecisionMakers.Unlocking the Power of Data-Driven Decision Making in 2025 In today’s fast-paced business landscape, organizations are increasingly turning to data-driven decision making to stay competitive and achieve their goals. This process, which involves leveraging data insights, analysis, and evidence to guide strategic and operational choices, has become a cornerstone of modern business strategy. At its core,data-driven decision making is about transforming raw data into actionable insights. It begins with data collection,where businesses gather relevant information from various sources. This data is then interpreted and analyzed to identify patterns,trends,and opportunities. By doing so, organizations can make informed choices that align with their objectives and drive growth. One of the key benefits of this approach is its ability to reduce uncertainty. Rather of relying on intuition or guesswork, decision-makers can base their strategies on concrete evidence. This not only enhances accuracy but also fosters confidence in the decisions being made. To better understand the process, let’s break it down into its essential components: | Component | Description | |————————|———————————————————————————| | Data Collection | Gathering relevant data from various sources to ensure comprehensive insights. | | Data Interpretation| Analyzing the collected data to uncover patterns and trends. | | Decision Making | using the insights gained to guide strategic and operational choices.| Such as, companies like Atlan are helping businesses unlock their data’s potential by providing tools that streamline the data-driven decision-making process. Their solutions enable organizations to collect, analyze, and interpret data more efficiently, ensuring that every decision is backed by solid evidence. The importance of this approach is further highlighted by the latest DataDecisionMakers news from VentureBeat, which provides in-depth analysis and insights into how transformative technologies are shaping the future of decision-making. As we move further into 2025, the role of data-driven decision making will only continue to grow. Organizations that embrace this approach will be better equipped to navigate the complexities of the modern business world and achieve long-term success. To stay updated on the latest trends and insights, be sure to Read More From DataDecisionMakers.In today’s fast-paced business habitat, data-driven decision making has emerged as a critical strategy for organizations aiming to stay competitive. To delve deeper into this topic, we sat down with an expert to discuss its components, benefits, and future trends.
Editor: Can you explain what data-driven decision making entails and why it’s so important in modern business?
Guest: Absolutely. At its core, data-driven decision making is about transforming raw data into actionable insights. It involves processes like data collection, interpretation, and analysis to identify patterns and trends. This approach is crucial as it allows organizations to base their strategies on concrete evidence rather than intuition or guesswork. By doing so, businesses can reduce uncertainty, enhance accuracy, and make decisions that drive growth.
Editor: Could you break down the essential components of this process?
Guest: Certainly. The process can be broken down into three key components:
| Component | Description |
| Data Collection | Gathering relevant data from various sources to ensure comprehensive insights. |
| Data Interpretation | Analyzing the collected data to uncover patterns and trends. |
| Decision Making | Using the insights gained to guide strategic and operational choices. |
editor: How are companies like Atlan contributing to this process?
Guest: Companies like Atlan are instrumental in streamlining the data-driven decision-making process. They provide tools that enable organizations to collect, analyze, and interpret data more efficiently. This ensures that every decision is backed by solid evidence, thereby enhancing the overall effectiveness of the strategy.
Editor: According to the latest DataDecisionMakers news from VentureBeat, transformative technologies are shaping the future of decision-making.Can you elaborate on that?
Guest: Certainly. The latest insights from DataDecisionMakers highlight how transformative technologies, such as AI and machine learning, are revolutionizing the way decisions are made. These technologies enable more refined data analysis, providing deeper insights and more accurate predictions. This is especially important as we move further into 2025, where the role of data-driven decision making will only continue to grow.
Editor: What advice would you give to organizations looking to embrace data-driven decision making?
Guest: My advice would be to start by investing in the right tools and technologies that facilitate efficient data collection and analysis. It’s also crucial to foster a culture that values evidence-based decision-making. Organizations should continuously seek to refine their processes and stay updated on the latest trends and insights. By doing so, they will be better equipped to navigate the complexities of the modern business world and achieve long-term success.
editor: Thank you for sharing these valuable insights. To stay updated on the latest trends and insights, readers can Read More From DataDecisionMakers.
