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April 14.2025
3 Minutes Read

StorMagic's New CEO Susan Odle: Pioneering Edge Data Solutions

Digital interface with gantt chart overlay being used, SEO keyword Susan Odle CEO StorMagic.

StorMagic’s Vision: A New Era Under Susan Odle’s Leadership

StorMagic, renowned for its innovative edge data solutions, is at a transformative point with the appointment of Susan Odle as CEO. After a stellar year marked by a remarkable 600% growth in its qualified sales pipeline, Odle's leadership is poised to accelerate the company's ongoing innovations, particularly following the launch of its SvHCI product. This comprehensive hyper-converged infrastructure (HCI) solution, designed as a viable alternative for VMware users, already has the company on track to expand its market share significantly in 2025 and beyond.

Expanding the Sphere of Influence: What This Means for the Industry

Odle's promotion from Chief Growth Officer to CEO places her in a unique position to lead StorMagic through a challenging market landscape shaped by changing operational necessities and global economics. With unpredictable tariffs affecting hardware costs, her strategy focuses on leveraging customer support ratings and product reliability to help businesses effectively manage their existing server fleets. With 99% customer satisfaction ratings and impressive metrics from organizations like Gartner and G2, StorMagic has carved out a reputation for excellence—a factor likely to play a crucial role in market expansion.

Leveraging Cutting-Edge Technologies to Meet Evolving Demands

As the demand for advanced technological solutions rises, particularly in retail environments, StorMagic’s focus on utilizing existing infrastructures aligns perfectly with current industry needs. Retail IT accounts for a significant portion of its business, demonstrating an understanding of the unique challenges faced in high-transaction areas. Companies like Giant Eagle and Sheetz benefit from StorMagic’s cost-effective solutions, which harness advanced capabilities such as machine learning and enhanced support systems.

The Future Landscape: Predictions and Insights

Looking forward, the integration of broader technologies such as chatbots and robotics could further streamline operations within edge environments. As these tools become increasingly vital in optimizing retail and operational efficiencies, companies like StorMagic are likely to lead the way with innovative solutions that enhance customer experiences while maintaining cost efficiency. Nadine’s comprehensive background in operational leadership positions her perfectly to guide StorMagic into this future.

Odle’s Proven Track Record: A Leader Ready to Innovate

Before joining StorMagic, Odle built a solid reputation in the tech industry as the founder of 8020CS and as a former COO at BDO Lixar. Her experience in overseeing significant operational improvements at various tech firms dispels any doubts about her capability to drive growth at StorMagic. Moreover, her recognition as one of the Top 50 Women in SaaS underscores her leadership's potential impact within a male-dominated industry. This transition marks not only a significant shift for StorMagic but a holistic approach to empowering diverse voices in tech leadership.

Conclusion: A Call to Watch

Susan Odle’s new position as CEO of StorMagic offers a rich opportunity for those observing the tech industry. As the company braces for a growth trajectory fueled by innovative solutions and operational excellence, it is necessary to monitor how her leadership influences both the internal dynamics and the broader edge technology market. With a keen focus on customer satisfaction and product reliability, StorMagic is not just adapting to the market changes but actively positioning itself to shape the conversation around technology in the years to come.

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12.09.2025

The Urgent Need for Visibility in Agentic AI Security: Only 21% Have It!

Update Understanding the Rise of Agentic AI in EnterprisesThe Akto 2025 State of Agentic AI Security Report highlights a critical moment in technology adoption: the integration of Agentic AI into mainstream enterprise workflows. This shift signifies not just adoption but a transformative wave reshaping industries like finance, healthcare, and technology. With 31.7% of organizations actively experimenting and 38.6% deploying these AI agents at scale, businesses are racing ahead, but at what cost?The Visibility Gap: A Cause for ConcernOne of the most alarming findings from the report is that only 21% of security leaders have full visibility into the actions of AI agents or their data access behaviors. This alarming statistic underscores the absence of essential oversight mechanisms, allowing potential threats to proliferate unchecked. Security teams are thus faced with a paradox: the faster AI technology is embedded into workflows, the greater the risk of vulnerabilities remaining undetected.Guardrails for the Future: Are We Prepared?The report emphasizes the urgent need for robust guardrails and continuous testing, as a staggering 65% of organizations acknowledge these as critical yet only half have implemented them. Traditional security measures such as manual reviews fall short in environments where AI operates autonomously. This leads security experts to call for a paradigm shift toward proactive strategies that integrate well with the operational pace of AI development.Anticipating the Future: Security Measures Needed by 2026As enterprises gear up for 2026, expectations for Agentic AI security evolve into necessities. Organizations are recognizing the importance of shared security ownership between AppSec and Platform Engineering and standardized permission boundaries across AI access. Continuous agent red teaming, mandatory action-level logging, and thorough risk classification are becoming non-negotiable requirements.The Role of Identity and Access Management in the Age of AIWith the expansion of Agentic AI, identity security must evolve. Companies are faced with the challenge of shadow AI operations—artificial intelligence tools created outside official IT oversight that could harbor risks. As highlighted by industry leaders, the time has come to not just adopt AI, but to do so within a secure framework that integrates identity and access management with a focus on governance.Call to Action: Rethink AI Integration for SecurityThe rapidly changing landscape of Agentic AI calls for more than just awareness; it requires immediate action. As enterprises integrate AI into their operations, they also must commit to proactive security measures that address existing gaps. Ensuring visibility and control over AI agents is not merely advantageous but essential for safeguarding sensitive data and maintaining trust in automated systems.

12.10.2025

Tiny Brain Implant Sends Light Messages To Restore Sensory Perception

Update Unlocking Communication: How a Tiny Implant Transforms Brain Interaction In a groundbreaking study, scientists at Northwestern University have developed a tiny, wireless brain implant that transmits light-based signals directly to the brain, revolutionizing how we understand sensory processing. This remarkable device, smaller than a postage stamp, sits unobtrusively beneath the scalp, where it emits precisely controlled light patterns through the skull to stimulate neurons in the cortex, effectively bypassing traditional sensory pathways. The Science Behind the Light This novel implant utilizes an array of up to 64 micro-LEDs (light-emitting diodes) to generate complex neural patterns that mimic natural sensory activity. In a controlled environment, researchers trained genetically modified mice to recognize specific light patterns associated with rewards, showcasing the implant's potential to communicate essential sensory information directly to the brain. 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As research develops, public perception will likely evolve, paving the way for wider adoption of such technologies. Conclusion: A Call to Embrace the Future The development of this new brain implant marks a monumental step in neuroscience, offering potential solutions to sensory loss and providing valuable insights into the complexities of human perception. As we stand at the intersection of technology and biology, collaboration among scientists, ethicists, and technologists will be essential to harness these innovations responsibly. Let’s embrace this future and be proactive in discussions surrounding brain-computer interfaces and their role in enhancing human capability.

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Update AI Deployment on the Rise Despite Data Quality Challenges Across the globe, enterprises are increasingly adopting artificial intelligence (AI), with a recent survey finding that 64.5% of organizations now have AI in production. However, the same survey by Apryse reveals a glaring issue: only 38.1% of these enterprises rate their document data as 'excellent' for AI use. This presents a critical gap in AI readiness that is alarming for business leaders keen to harness the disruptive potential of AI technologies. The Paradox of Progress: AI Adoption vs. Data Quality The findings suggest that while AI has cemented its position in the operational landscape of businesses, the infrastructure supporting it—particularly in terms of document data quality—has not kept pace. Traditional data trapped within documents is often messy and inconsistent, posing a significant barrier to effective AI implementation. As Andrew Varley, CPO of Apryse, points out, “AI is no longer experimental, it’s operational,” but many organizations find the document data governance inadequate for leveraging this operational AI effectively. The Financial Impact of Poor Data Quality Many enterprises are now facing significant challenges with data quality, as revealed by a complementary survey from Qlik. It shows that 81% of AI professionals report persistent data quality issues, which could jeopardize the ROI of their AI investments. Poor quality data can lead to biased models and unreliable insights, ultimately compromising the stability of businesses. Financially, organizations need to place increased focus on data quality or risk significant waste and liability. The Role of Document Automation in AI Success The Apryse survey highlights a vital trend: 82.8% of organizations plan to invest in document automation in the next twelve months. Document automation not only streamlines processes but also enhances data quality for AI readiness. Tools that enable the extraction of structured data from unstructured documents—such as improved table recognition and metadata tagging—will be crucial in bridging the gap. By investing in these tools, organizations can unlock the full potential of their AI deployments. Asia-Pacific: A Different Story in AI Maturity While North America remains at the forefront of AI deployment, organizations in Australia and New Zealand are showcasing a surprising leadership in AI infrastructure maturity. These regions are early adopters of data residency rules and have shown a commitment to robust document processing, making them models for other markets. The unique regulatory environment in Oceania—especially in healthcare and financial services—has pushed for solid document-to-data workflows, which may serve as a case study for global enterprises. Key Strategies for Improving Data Quality To overcome the data quality challenges, enterprises must develop comprehensive data management strategies. This includes investing in data governance frameworks, ensuring that all stakeholders understand their roles in maintaining data quality, and implementing continuous data validation processes. Furthermore, utilizing smart automation technologies can help to clean and improve data quality, ensuring reliable foundations for AI models. By adopting these practices, organizations can mitigate risks associated with flawed data and enhance the performance of their AI initiatives. Why Action on Data Quality Matters Now Companies increasingly recognize the urgency of addressing data quality concerns. A fifth of data professionals believe that without prioritizing data quality, businesses face a crisis that could severely outweigh current investments in AI technology. Organizations must act now not just to safeguard investments but to ensure that AI delivers on its promise of operational efficiency and enhanced customer experiences. As industry leaders explore innovative solutions through AI, a commitment to high-quality data is essential for sustainable success. In summary, while the surge in AI adoption is promising, it is accompanied by serious challenges related to data quality and governance. Firms that proactively invest in document automation and enhance data quality practices will stand to gain significant competitive advantages in the evolving AI landscape.

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