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Technology continues to advance at a furious pace. The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI.
As they embark on their AI journey, many people have discovered their data is garbage, says Eric Helmer, chieftechnologyofficer for software support company Rimini Street. They arent sure where it is among hundreds of different systems in some cases. This tends to put the brakes on their AI aspirations.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Diamond founded 11:11 Systems to meet that need – and 11:11 hasn’t stopped growing since. They also know that the attack surface is increasing and that they need help protecting core systems.
Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. AI is not merely a system of code; it’s not a case of ‘set it and forget it.’
Speaker: Ron Lichty, Consultant: Interim VP Engineering, Ron Lichty Consulting, Inc.
As a senior software leader, you likely spend more time working on the architecture of your systems than the architecture of your organization. Yet, structuring our teams and organizations is a critical factor for success. The wrong organizational structure can create friction of all kinds.
The survey points to a fundamental misunderstanding among many business leaders regarding the data work needed to deploy most AI tools, says John Armstrong, CTO of Worldly, a supply chain sustainability data insights platform. Theres a perspective that well just throw a bunch of data at the AI, and itll solve all of our problems, he says.
Its not surprising to see the differences when C-level executives tend to receive PowerPoint-level snapshots of IT problems, including data quality, says Timothy Bates, a professor in the College of Innovation and Technology at the University of Michigan Executives see dashboards clean, aggregated, polished, Bates says.
The future is now Even with some issues to work out, and some resistance from developers to AI coding assistants, AI-native coding is the future, says Drew Dennison, CTO of code security startup Semgrep. Gen AI tools are advancing quickly, he says.
Terran Orbital is suing its former CTO, Austin Williams, a little over a month after he and other shareholders publicly called for a change in company leadership.
Speaker: Dr. Joe Perez, Chief Technology Officer at SolonTek and Senior Systems Analyst at NC Dept. of Health & Human Services
As a CTO, you see the end result of those concepts but will they ever become reality? Anyone can make a pretty bar graph, but can you make sound decisions based on that graph? Is it actionable or is it only fluff? Do you have the vision to combine beauty with brains, thereby driving decisions with data? What value do you see in your data?
Agentic AI is a natural extension for call centers as well since they already often deploy AI for areas like voice-to-text transcription, real-time multilingual translations, and sentiment analysis, says Luiz Domingos, CTO and head of large enterprise R&D at Mitel, a provider of call and contact center software.
A lack of AI expertise is a problem, however, when other company leaders often turn to CIOs and other IT leaders as the “go-to people” for solving AI problems, says Pavlo Tkhir, CTO at Euristiq, a digital transformation company. “A Still, Silva suggests that education for CIOs is critical as AI becomes integrated with more IT systems.
SAP CTO Juergen Mueller will step down from SAP’s executive board at the end of September. “I I want to address an incident at a past company event where my behavior was inappropriate. I regret being inconsiderate and sincerely apologize to everyone affected. I recognize my behavior at that moment did not reflect our values at SAP.
Keller, one of the most acclaimed engineers in the semiconductor industry, joined the company in 2021 as president and chieftechnologyofficer, and was named CEO in early 2023. Santa Clara, California-based Tenstorrent was founded in 2016 and the company has since raised more than $1 billion, per Crunchbase.
Join Dr. Rebecca Parsons, CTO at ThoughtWorks, as she presents: How to build evolvable solutions. How to address technical debt and retrofit existing systems to support better evolution. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.
Before that, she ran the AI company she co-founded, Hearsay Systems, a company that uses AI to help investment advisors. Shih moved into the top AI role at Salesforce in March 2023, having previously headed up the company’s Service Cloud division. She has also worked at Microsoft, Google — and also at Salesforce, much earlier in her career.
We were used to writing rule-based systems that’ll always behave as you designed them,” he says. A shift to small wins The cost issue, combined with huge pressure from CEOs and boards to deploy and create value from AI, puts CIOs and other IT leaders in a difficult position, says Kevin Miller, CTO of industrial AI company IFS.
Skepticism from IT practitioners is natural, given they will have to work out how to deploy and maintain AI agents, says Tim Armandpour, CTO at PagerDuty. Although the future state may involve the AI agent writing the code and connecting to systems by itself, it now consists of a lot of human labor and testing.
Theyre actively investing in innovation while proactively leveraging the cloud to manage technical debt by providing the tools, platforms, and strategies to modernize outdated systems and streamline operations. Drafting and implementing a clear threat assessment and disaster recovery plan will be critical.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. Whether you're a seasoned CTO or an industry trailblazer, this webinar will help make your product ready to meet the competition by adopting an architecture that is optimized for innovation.
enterprise architects ensure systems are performing at their best, with mechanisms (e.g. They ensure that all systems and components, wherever they are and who owns them, work together harmoniously. Resilience and availability: Designing systems that are fault-tolerant and available in line with requirements and SLAs.
Allegis had been using a legacy on-premises ERP system called Eclipse for about 15 years, which Shannon says met the business needs well but had limitations. Allegis had been using Eclipse for 10 years, when the system was acquired by Epicor, and Allegis began exploring migrating to a cloud-based ERP system.
Swiftly Systems entered unicorn territory after announcing today that it grabbed another round of $100 million, this time in a Series C. If you’re feeling some déjà vu, you would be right: this is the second $100 million the retail technology company has raised in the past six months — and in a tough fundraising market , too.
Capital One built Cloud Custodian initially to address the issue of dev/test systems left running with little utilization. Architects must combine functional requirements with multiple other long-term requirements to build sustainable systems. The rapid adoption of AI is making the challenge an order of magnitude worse.
Speaker: Robert Starmer, Cloud Advisor, Founding Partner at Kumulus Technologies
This session will cover: Service Mesh - managing distributed systems communications for continuous delivery environments. This session will provide an overview of service mesh, a review of the Istio service mesh itself, and dive into best practices and integration models for integrating the traceability model into a distributed application.
This means conducting a SWOT analysis to identify IT strengths — like skilled talent, relevant technologies, strong vendor relationships, and rapid development capabilities — and addressing weaknesses such as outdated systems, resource limitations, siloed teams, and resistance to change.
Sergey Kastukevich, deputy CTO of iGaming software development company SoftSwiss, says most organizations would like more flexibility in the decision-making processes, and IT needs to implement more agile processes that help business leaders respond to evolving circumstances. You can’t ignore what’s going on in the world,” he says. “And
Chieftechnologyofficers are key players in the enterprise C-suite, oftentimes working in collaboration with CIOs at the forefront of new and innovative technologies. They are among the most important hires organizations are making today due to the business value that successful technology deployments can bring.
To achieve this, SAP must continuously harmonize its product landscape and consistently implement uniform standards, for example, in data models and identity and security services, said DSAG CTO Sebastian Westphal. The CTO emphasizes that all newly developed functions by SAP are fully integrated into the overall system.
His talk will examine database schema changes and API versioning as two instances of schema evolution: how your systems respond when the structure of your structured data changes. Alex Rasmussen is an expert in helping teams through these struggles.
As a result, for IT consultants, keeping the pulse of the technology market is essential. Being a successful IT consultant requires knowing how to walk in the shoes of your IT clients and their business leaders, says Scott Buchholz,CTO of the government and public services sector practice at consulting firm Deloitte.
Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. AI and ML are used to automate systems for tasks such as data collection and labeling. An organizations data architecture is the purview of data architects.
With C-suite leaders under increasing pressure to align technology with strategic objectives, many experience that roles — whether CEO, CFO or even CTO — lack the deep technical insight needed to bridge the gap between business and technology. The CTO and CIO handle IT management and technological innovation.
Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS.
Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.
Zomato said on Monday its co-founder and chieftechnologyofficer Gunjan Patidar has left the firm, the latest in a series of departures at the Indian food delivery firm whose shares have lost over 57% of its value in the past year. Patidar is the fourth co-founder to leave the firm.
As SVP and CTO for the Boston Red Sox, Brian Shield is responsible for the strategic direction of technology, fan engagement, day-to-day IT operations, and cybersecurity in support of the team, their fans, and Fenway Sports Management. In baseball, you start with a farm system of young, capable talent.
Smaller models, on the other hand, are more tailored, allowing businesses to create AI systems that are precise, efficient, robust, and built around their unique needs, he adds. Reasoning also helps us use AI as more of a decision support system, he adds. Multi-agent systems Sure, AI agents are interesting.
Outcome- and cost-based pricing, with variations for specific use cases, are likely to catch on, says Rogers Jeffrey Leo John, co-founder and CTO of DataChat, a no-code, gen AI platform for instant analytics. However, some experts see other price models emerging.
To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.
This allows end users to advocate on behalf of the technology rather than technologists, he explains. As a result, system usability is prioritized to ensure a frictionless adoption process. He advises following an approach that recruits influential and respected employees as change advocates.
While up to 80% of the enterprise-scale systems Endava works on use the public cloud partially or fully, about 60% of those companies are migrating back at least one system. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. But should you?
With AI doing basic coding work, developers will be needed to think creatively about how to build software aligned with business needs, to check the code, and to ensure that AI-built apps can scale, says Sabrina Farmer, CTO at GitLab, provider of an AI-based DevSecOps platform. The job will evolve as most jobs have evolved.
At Emburse, an expense reimbursement company, software developers use code generation tools like Github Copilot and Amazon Q Developer, which integrate directly into developer environments, says Ken Ringdahl, the companys CTO. The most common pattern Im seeing is custom-building capabilities and leveraging other systems for data, she says.
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