SPE EAGE Accepts Delfin's Paper Covering Successful Applications for Oil Majors

Thank you SPE EAGE for accepting our paper on Efficiency and Accuracy Boosts in Exploration and Production from Natural Language Processing. We are proud to share an implementation of our unstructured-to-structured data conversion capabilities with an oil major client. The EAGE conference is scheduled to be held June 8-11, 2020 in Amsterdam. See more details by following the link.

AAPG's ACE Conference to Feature a Short Course Taught by Delfin CEO

We're looking forward to teaching a course on unstructured data management best practices and introduction to machine learning on June 7th at this year's ACE Conference in Houston hosted by the American Association of Petroleum Geologists (AAPG).

We hope readers will join the class to learn about challenges in the workplace in dealing with accumulating textual files and the value machine learning can bring to the data scattered across and buried within those files.

Delfin a Proud Sponsor of SPE's Annual Data Science Convention

Delfin is proud to be a sponsor for the upcoming Society of Petroleum Engineers Data Science Convention on April 2nd. Look for our booth and new demos of the work we've been doing for various operators and service providers.

Digital Transformation Annual Congress

The Society of Petroleum Engineers will host our Digital Transformation Annual Congress in Houston on April 23rd. The event will showcase interactive digital solutions that are each not only new to the market but proven in their application. Startups and established vendors are encouraged to apply, and decision-makers in operators looking for operational efficiency, increased production, and improved safety are encouraged to attend.

Digital roughnecks: Oil and gas workforce changing as tech's role grows

Oil leaders are touting their firms as "tech companies". When considering the broad definition of "technology", the sophistication and scale of the hardware and engineering used in the oil and gas industry make these statements objectively true. When we equate "tech" to software culture, however, the fact that oil companies are a "treasure trove" of software-related opportunities implies they are in their infancy in this regard.

While oil and gas employment is down in Texas, hires into positions requiring software and data analytics skills is increasing. The traditional culture dominates, but imitations of software culture, like the adaptation of physical spaces, are signs that leaders are encouraging a shift. Objectively, software culture means more experimentation and iterative learning, less formality in professionalism, and more transparency of data and process. Historical evidence shows that, for an incumbent firm to successfully change its culture, radical changes in the workforce and the incentive structure are needed. A key driver of attracting talent in a domain is the cultural fit of the firm to the individual. This applies particularly in software and particularly to the Millennial workforce.

8 Thought-Provoking Cases Of NLP And Text Mining Use In Business

Here's a nice medium post showing different categories of applications for natural language processing (NLP) technology. Notice the fluctuations between categories as methods versus use cases.

Delfin is typically asked to explain what we do in terms of a specific repeatable use case, when in fact the nature of NLP demands customization for each application for each team for each client for each part of the industry. It's a bit simplistic to assume that, for example, an exploration geology team in one company will create and handle their unstructured data in the same way as their equivalent team in another company. Our method has been to build an NLP platform atop which we can spin up customized solutions quickly and effectively with enough automation built in to keep our prices low. In the NLP space, don't look for an off-the-shelf solution to your specific issue, or you'll get the lowest common denominator. Instead, make sure your vender can sit down with you to learn what you need and then hit your targets within your budget before your deadline.

Oil and Gas Onshore

Thanks Oil and Gas Onshore Podcast for having us on as part of the Oil and Gas Global Network (Episode Number 48). Very cool of host Justin Gauthier to meet at 7AM so we could work it in.

Topics ranged from the value of formal education (breaking projects into parts and receiving detailed competitive evaluation on completion against a standard) to the story of Delfin and what we're doing for customers.

We think OGGN needs to do an episode on the host Justin Gauthier and his own fascinating background.

Intro to Unstructured Data and Machine Learning in Oil and Gas

Our class on Unstructured Data and Machine Learning in Oil and Gas will be hosted by the Society of Petroleum Engineers and the Cannon on November 22nd. We've taught this class before at Stanford and at the American Association of Petroleum Geologists, and we've taught content contained in this class at Google. We're happy that its popularity is increasing, and we encourage folks to attend who want to develop an intuitive memorable understanding of concepts in data management and data processing in the energy industry.

DSDE's Latest Article from Delfin's CEO Demystifies Technology Buzzwords

Thanks SPE Data Science and Digital Engineering for publishing our piece on buzzword demystification for the oil and gas industry. Let's get everyone on the same page about what concepts mean so that we can have meaningful discussion about putting them to use.

Success with Difficult Unconventionals

Thanks AAPG for giving us a spot in the upcoming workshop on Success with Difficult Unconventionals. Looking forward to contributing to the section on Maintaining High Efficiency in Drilling, Completions, and Production.

Advanced Tools Tap Digital Knowledge

Offshore Engineer just published our article about our virtual advisor, Sia. The article focuses on the practicality of such a tool to close widening gaps and drive operational efficiency and excellence. Honored to be featured.

How Virtual Advisors Create Practical Employee Efficiency Boosts in the Chemical Engineering Workplace

Thank you American Institute for Chemical Engineers (AIChE) Annual Meeting for accepting our paper about the effectiveness of our virtual advisor as a tool for faster and more thorough resolutions to common issues in chemical process operations engineering. We'll be discussing in-depth our controlled focus group experiment and explaining permitted details about our work with oil major and multinational service company clients.

Luncheons, Dinners, & Networking Events Overview

Thanks Mark and Godswill for hosting the GCAGS and inviting us to share our story and our work on October 24.

Why Data Transparency Matters to your Business

We're looking forward to presenting and panel-sitting November 20th along with Anadarko and Equinor on the topic of data management through Society of Petroleum Engineers. In particular, we'll discuss the importance of internal data transparency to operational efficiency and talent recruitment.

Science's Big Data Problem

A Wired Magazine article explores the unstructured data management challenge in research science generally, a fitting analogy to the challenge faced by oil and gas.

Both are areas in which:

-- Progress is inherently data-driven.

-- Unstructured data is growing at an enormous rate.

-- The real value that people add comes after the data and information has been gathered and organized at their fingertips.

-- The majority of time that people spend is on gathering and organizing data.

-- Valuable data is siloed and buried beyond the capacity of incumbent obsolete tools to recover.

-- Solutions that actually work must prove themselves to one practitioner at a time, overcoming ignorance and incumbent inertia.

CAPA - 2019 CAPA Annual Conference (Technical Symposium)

Thank you Chinese American Petroleum Association (CAPA), for inviting us to speak at your upcoming 10/11 Annual Conference, themed, “The Future of Energy: the Trend, the Impact, and the Adaptation”.

"Digital transformation, thanks to machine learning and artificial intelligence, also has been contributing to more efficient processes and new business strategies. As a result, how the industry adapts or reforms itself to embrace alternative energy and new technology has become a major issue. This changing energy landscape also provides great opportunities for individuals with an open-mind and positive altitude, and appropriate skill sets to thrive in the new era."

Our work primarily focuses on boosting production, lowering costs, and increasing safety in the oil and gas industry. This will be the second time we've been invited to speak on the topics of knowledge retention and skill development. While these topics typically belong in the HR silo within operators, they are relevant to how we work in the general case. Our tools optimize employee performance and efficiency by allowing them to leverage the entire body of data and knowledge relevant to their work in real time as they make decisions. One complementary effect is increased knowledge retention and skill building.

What Is Code? If You Don't Know, You Need to Read This

A major theme emerging in oil and gas digital transformation is confusion around the inevitable cultural shift toward a new digitally literate generation. Says Josh Tyrangiel, "Software has been around since the 1940s. Which means that people have been faking their way through meetings about software, and the code that builds it, for generations. Now that software lives in our pockets, runs our cars and homes, and dominates our waking lives, ignorance is no longer acceptable. The world belongs to people who code. Those who don’t understand will be left behind."

Paul Ford's Bloomberg piece explains nicely the culture of people who code -- the future of the workforce. Will oil and gas be left behind, or will they adapt their culture to accept digital transformation from the inside out?

Gartner Identifies Top 10 Data and Analytics Technology Trends for 2019

Gartner predicted 800% percent data growth from 2016 to 2020, and has now identified natural language processing (NLP) as a Top Data Analytics and Technology Trend. Gartner notes that NLP is responsible for more efficient and comprehensive decision-making: “AI, particularly natural language processing (NLP), increasingly influences company plans, strategy formulation and investment portfolios.” This is not surprising, as Gartner has also noted that 80% of company data is unstructured (textual) documentation unable to be mined by traditional AI.

NLP is essential to the extraction of value from the majority of company knowledge: "By 2020, 50 percent of analytical queries will be generated via search, natural language processing (NLP) or voice, or will be automatically generated. The need to analyze complex combinations of data and to make analytics accessible to everyone in the organization will drive broader adoption, allowing analytics tools to be as easy as a search interface or a conversation with a virtual assistant." That's us! Thanks Gartner, for recognizing the same value our clients do.

LIFE Edge 94: DelfinSia's Alec Walker Interview - Real-Time Virtual Workplace Advisor

Thank you LIFE Edge for interviewing us on our company, process, and strategy. The show is cohosted by Susan Nash, Director of Innovation and Emerging Science at the American Association of Petroleum Geologists.


The 8 Ways Companies Get Work Done, and How to Align Them

The Harvard Business Review finds there are 8 ways in which companies get work done across all industries, with natural language processing playing a large role in the growing Smart Automation category. The article elaborates on "...artificial intelligence (such as machine learning and natural language processing) and robotic process automation, which can substitute highly repetitive, rules-based work, augment existing employee capabilities, and also create demand for new human skills."

Notice that efficiency is just part of the prize. Industries that have successfully implemented natural language processing in their workflows have augmented existing human capabilities and unlocked new opportunities for further human capabilities.

Embracing technology, diversity propels Chevron into the future

Mike Coyle, President of Manufacturing at Chevron, talks about ways to reduce expensive human error using technologies to empower better decisions. There is a lot of attention being paid to upstream oil and gas digital transformation, but the transformation extends into downstream as well. Coyle discusses setting aside funding for new apps, and he discusses making decisions regarding which technologies to back based on popularity among the actual engineering users across his part of the business.

Shell sounds the call for industry to collaborate, set foundation for data-centric ways of working

Various entities in the energy industry are calling for more collaboration between operators in evaluating and adopting data-centric ways of working. The inevitable benefits of digital transformation in the long term will be more or less ubiquitous. If all operators will eventually benefit from new technologies, a competitive advantage attained from adopting new technologies in secret will be temporary. In addition, attempting to adopt in private runs risks that blind spots go unnoticed or that the wrong solution is chosen. Seen from this perspective, if each company can approach the digital transformation endgame faster through collaboration, why not team up in the process?

For example, multiple operators could come together and jointly host proof-of-concept testing to evaluate competing digital transformation venders. Each operator and vender would learn about use cases for the technology as well as who the venders are in that space and where each excels. The operators can then choose privately who they would rather work with given the particularities of their internal use cases.

Shell's Kiran Krishna and Binay Anand have proven to be thought leaders in this area. We recommend this article about their recent 2019 OTC presentation.

Oil & Gas Innovation Center

Says John Barratt of Oil and Gas Innovation Center, "Software can be difficult to explain". The value that software tools add to oil and gas is often complex and contextual, and understanding it requires knowledge both of the use case in oil and gas as well as terminology used in the software and data science communities. Often, software venders lack the required awareness of the nuances in the oil and gas space to explain how their tool will help specifically. Similarly, oil and gas operators often lack awareness of the concepts and vocabulary used in the software community to communicate value. This can cause miscommunication and delay mutually beneficial business. The Oil and Gas Innovation Center helps cutting edge new technology find its relevance in oil and gas, and it helps energy operators discover specific use cases for this technology.

Delfin is proud to be represented by Oil and Gas Innovation Center.

The Chatbot Industry Size, Key Players, Global Trends, Analysis and the Future - Newstrail

This article does a good job summarizing the growing hype and expectations for chatbots. Three years ago, I ran a seminar for Google on the key differences between compelling and convincing chatbots in the workplace. Compelling chatbots are attractive to users because they add value, whereas convincing chatbots seem to users to behave like real people. In my view, the second is a cute accessory, and the first is where the focus should be. The term "chatbot" is now very much wrapped up in the convincing category, so we've been using the term "virtual advisor" to differentiate our product.

So far, we've found that busy engineers are not looking for a conversation partner so much as a highly efficient research tool. The demand for obtaining timely key information is growing quickly, and a tool that can interpret the intention of a question asked in natural language and come back with relevant and accurate answers is compelling. It's fun and tempting to give our tool personality and make it companionable, but the only conversational aspects we have added so far have to do with clarifying ambiguities in the users' questions.

If you want convincing chatbots, take a look at XiaoIce. If you want to make better decisions faster, take a look at our tool, Sia.

DelfinSia CEO Q&A; at Workforce NEXT Energy Summit

Q&A; from digital transformation panel at WorkForce NEXT Energy Summit by Stone Fort Group. The conference attracted HR professionals from major oil and gas operators and across the energy industry. Key takeaways from an HR perspective:

1. The industry aims to transition to a more agile way of working. Solutions are being explored to overcome excessive approval requirements. Efficiency goals drive a new emphasis on getting things done quickly and learning from failure.

2. Increasingly dynamic workflows and role turnover require employees to learn as they go rather than rely on training classes. Bots/virtual assistants will play a major role, here.

3. The expectations of the new generation are heard loud and clear: work-life balance and benefits like major software companies, digital tools with intuitive user experiences and access to abundant data, and a sense of shared purpose.

4. Retention of knowledge is a major challenge to HR as employees retire. HR seeks help, as they lack the specific domain expertise to corral, organize, and share data.

From left to right on stage:

Alec Walker - Co-founder & CEO, DelfinSia

Will Womble - Co-Founder, Hypergiant

Mat Podskarbi - President, FourPointZero

Capital Projects Struggle to Implement Digitalization

Despite internal digital transformation efforts, 80% of those interviewed expressed frustration with their companies' data capabilities, says IPA Global. Their recent piece found three reasons why companies in capital-intensive industries like oil and gas struggle to implement digital transformation projects: lack of internal expertise, lack of tools to navigate unstructured data, and lack of underlying infrastructure to support such tools. These deficiencies are not being solved by internal efforts, and they will not be.

Oil and gas is having trouble hiring the cream of the crop in data science to build best-in-kind internal architecture and tools, because such endeavors are not core to business and are slowed by inertia in obsolete directions. Data scientists want to work in data science companies, scaling their products across multiple clients quickly. The oil and gas industry gets better results faster when it outsources unstructured data processing to competent third parties with better expertise, clearer focus, and less red tape. Trying to solve the problem internally is like a restaurant in Houston trying to make its own wine; devoting the resources required to develop an excellent product will detract from and conflict with the core business.


KBC / Yokogawa published their Digitalization Manifesto, which we recommend highly. They show that the apex of value creation is through real-time processing of unstructured data, but they lament that the traditional spread of solutions in that domain, "is just not good enough – somewhere in the process human intervention is required to tag/catalog the information being gathered so it can be read by a machine, and to verify the outputs."

We're proud to be recommended by our clients for our ability to expedite this process and overcome this pain point. Delfin's platform can automatically populate spreadsheets with data buried in unstructured documents, and it can answer nuanced technical questions from that documentation in real-time.


Delfin's chief scientist Justin Nguyen was a featured speaker at PyData, a world premier data science conference. He discusses extraction of value from information buried in unstructured documents, aka "dark data".

Justin's novel techniques have helped to give Delfin an edge over our competitors in the space. While many firms look to wholistic methods applied to big data to allow relevance to surface, Delfin can extract fast and accurate answers using limited datasets from our clients.

Need a database automatically populated with information buried in your unstructured documentation?
Need an accurate answer to a nuanced technical question from across your unstructured documentation?

Digitalization is Changing Offshore Operations

Operators need to hurry and adopt new technologies to boost efficiency before they lose funding opportunities or control of their equity.

JPT 5/6/2019: Roger Jenkins, CEO of Murphy Oil, believes that efficiency gains in the offshore oil and gas sector are “still at the infancy stage,” citing that as a great reason for investors to focus on offshore investments. Malcolm Frank, an author on the topic of digital transformation, believes that "oil and gas is late to the party" when it comes to digital transformation.

WSJ 6/7/2019: "Frackers Scrounge for Cash as Wall Street Closes Doors". Traditional investment in oil and gas is drying up as operators struggle to create free cash flows in a sustained low-hydrocarbon-price environment. New efficiencies are needed, and the digital transformation tools Jenkins, Frank, and others from the articles mention are the key to providing them. Will operators adapt new technologies on their own, or will they wait for their new PE backers to demand that they do so?

CAPA - 2019 Q2 CAPA Lunch & Learn Event (二零一九华人石油协会午餐与学习活动)

Thank you Chinese American Petroleum Association for featuring Delfin at your quarterly weekend lunch and learn event. Thanks Marathon, Shell, ConocoPhillips, BP, Chevron, SEG, Repsol, TPH, and others for sponsoring CAPA and the event. The lunch and learn gave us a chance to try out our simulation exercise before heading to San Antonio to run a half-day course at AAPG ACE.

Consider context to optimize human performance

Sandra Adkins, Human Performance Safety Advisor at BP, the human error responsible for 80% of problematic events is the tip of the ice burg. The underlying issues are in the systems that are meant to handle and transfer the information to people when they need it. "For example, a procedure may be misleading or confusing, or it might not be available".

This is another example of the challenge the industry is facing in effective utilization of unstructured data. When people make mistakes, they almost always think that they had the right information. If only they had been shown clarifying segments of documentation, they could have better researched their options before making decisions. DelfinSia offers a solution to this unstructured data challenge.

Interview with Alec Walker, DelfinSia: Unstructured Data Mining and Text Analytics for Improved Upstream Efficiencies

DelfinSia is proud to be featured in AAPG's blog. The energy industry is beginning to pay attention to inefficiencies in knowledge research practices, and Susan Nash reached out to us to ask how we frame and solve the problem. Here are some things we cover in the interview:

1) What are the differences between structured and unstructured data?

2) How do problems arise because of unstructured data?

3) What can be done to solve those problems?

4) What are the pitfalls to watch out for in the various available solutions?

Annual Convention & Exhibition 2019 in San Antonio, Texas

Thanks AAPG for giving us an audience in the upcoming ACE conference in San Antonio. We are proud to be a sponsor and to be teaching a class on unstructured data management. Here are three reasons why we recommend attending the conference:

1) Get exposure to new technologies vetted by the American Association of Petroleum Geologists, and see case studies on applications within the industry.

2) Network with 6,900 representatives from across the industry in curated programs to help you meet those with the job titles in the firms of most interest to developing your business.

3) Participate in one of the most prestigious juried technical programs in the industry. Attend classes and paper presentations, and ask questions and follow up on the content.

WorkforceNEXT Energy Summit 2019 in Houston, Texas

Thanks for hosting us on your HR evolution panel, WorkforceNext! The conference attracted HR professionals from major oil and gas operators and from across the energy industry. Key takeaways on the oil and gas digital transformation revolution from an HR perspective:

1. The industry aims to transition to a more agile way of working. Solutions spanning culture change as well as internal protocol change are being explored to overcome excessive approval requirements. Efficiency goals drive a new emphasis on getting things done sub-optimally and learning from failure.

2. Increasingly dynamic workflows and role turnover require employees to learn as they go rather than rely on training classes. Bots/virtual assistants will play a major role, here.

3. The expectations of the new generation are heard loud and clear: work-life balance and "cool" benefits a la major software companies, digital tools with intuitive user experiences and access to abundant data, and a sense of shared purpose.

4. Retention of critical knowledge is a major challenge to HR as subject matter experts continue to retire and prefer to stay retired (driving up consulting rates). HR seeks external help, as they lack the specific domain expertise to corral, organize, and share data.

Top Tech Trends in Oil and Gas 2019 | Accenture

Accenture highlights key strategies within digital transformation in Oil and Gas. Companies staying up with the times are: 1) Outsourcing to technology firms with cloud data management as the harbinger; 2) Devoting budgets and people to making their firms' digital knowledge actionable in operations; 3) Generating more data than ever before across new IOT; and 4) Struggling with an increasingly complex data landscape. Solutions are needed that can deftly navigate that landscape to return knowledge in a useful format, whether it is automatically filling in a database from unstructured data or simply answering a technical question from a knowledge worker.

The article also mentions opportunities for the traditionally undervalued IT departments in oil and gas operators to create enormous value by taking more initiative. "IT can play a major role in bringing new innovations around data discipline, and in administering the data foundation holistically for all business intelligence (BI), analytics and AI applications in close collaboration with business."

SPE Data Science Convention - Outsourcing to AI venders is essential

Highlights from yesterday's (4/4) SPE Data Science Convention in Houston, Texas:

Rob Kelly, BP Head of Upstream Digital Organization -
The value of digitalization in oil and gas has been estimated at $1.6 trillion. Hence the great interest pushing digitalization. Software needs to be modernized to improve workplace enthusiasm and attract talent, as the new generation expects cutting edge technical tools.

David Bowlby, VP Data Analytics, Oxy Advanced Analytics -
Companies vastly underestimate the time and resources necessary to develop, support, and maintain software in-house. Whenever possible, it is far better to source from vendors.

Mojtaba Shahri, Sr. Scientist, Drilling Analytics, Apache Corporation -
People in oil and gas are currently spending >50% of their time looking for the information they need to make decisions.

Comments from the Panel:
- "Today is the slowest day of the rest of your life with AI." The state of AI today resembles the beginning of the PC revolution.
- Operators are increasingly willing to share data with vendors using the cloud, because they are able to extract enormous value from doing so. Lawyers hate the sharing, but the value generation is too strong for the resistance to stand. Join or be left behind.

DelfinSia Introductory Video -- Make Better Decisions Faster

Curious about how the tool works and how it can add value to you and your team? Check out Sia's official introductory video. We're like "Alexa" or "Siri" for your workplace.

SPE is connecting oil and gas decision makers with workable solutions to common digital technology problems and inefficiencies.

DelfinSia is proud to help host the Technical Pavilion in the Society of Petroleum Engineers upcoming Digital Transformation Annual Congress (DTAC) in Houston held the day after the OTC.

There is an increasing number of digital technology conferences in the oil and gas industry. This is not your ordinary conference; this is a high-density, hands-on interactive experience. Take away comprehensive end-to-end understanding of workable solutions to bring back to your organization. Learn how to avoid common pitfalls in digital solution implementation from experienced first movers. Network with likeminded adopters and implementers of digital solutions who can discuss bottom-line value.

Keynote speakers include Åshild Hanne Larsen, CIO and SVP Corporate IT at Equinor and Christine Boles, VP Internet of Things Group, & GM of Industrial Solutions Division Intel.

"BP Hopes Young Recruits Can Make It Cool", because current strategic digital transformation requires users in the future, too.

Energy companies are adjusting to attract the new generation, who want open and honest communication, faster integrated tools, and data-driven decision making. As Daniel Yergin noted in last week's CERA Week, which had a notably digital focus, “A great wave of innovation and technology is transforming the industry and reshaping the energy future”. To stay relevant, energy firms need to make sure they are not left behind in digital technology, and they need to focus on moving forward in ways that will satisfy their own employees today and in the future. Leading firms are smart to get in touch with the expectations of digital natives in areas ranging from culture to job tools.

The enterprise AI conundrum: Build or buy? The answer is to outsource to a cutting edge player, but only through solid POC diligence.

Venture Beat expounds on the virtues of outsourcing AI solutions to firms in our space, emphasizing the importance of running proof of concept testing (POCs). There are many new solution providers, each purporting to offer a tool that can solve operators' data management problems. How do you know which to choose? Well, why not choose whichever can demonstrate to you definitively that it can add value with your data? Until any tool achieves name brand dominance, there's nothing wrong with requiring a POC before you commit fully. Don't just use the POC as an opportunity to see that software works; expect the POC to deliver measurable value. Set the POC up deliberately, so you can compare performance with and without the use of the tool you are considering. If you diligence thoroughly, you can invest in a lasting partnership with sustained value.

Streamline critical information searches with advanced data techniques. Drastically improve research efficiency for better decisions.

Our article about the value of using natural language processing to mine unstructured data was featured in Hydrocarbon Processing. "Since 1992, management and technical professionals from petroleum refining, gas processing, petrochemical/chemical and engineer/constructor companies throughout the world have turned to Hydrocarbon Processing for high quality technical and operating information. Through its monthly magazine, website and e-newsletters, Hydrocarbon Processing covers technological advances, processes and optimization developements from throughout the global Hydrocarbon Processing Industry (HPI). Hydrocarbon Processing editors and writers provide real-world case studies and practical information that readers can use to improve their companies' operations and their own professional job skills."

Oil & Gas is working to improve efficiencies and create new value through advanced data science solutions.

Delfin Sia is proud to help sponsor the second annual Society of Petroleum Engineers Data Science Convention here in the Gulf Coast Section. We're really into their theme: "Transforming the Upstream O&G; Industry with Advanced Data Science Solutions".

"Is the skilled labor gap a threat to operational safety?" asks Business and Industry Connection Magazine. Managers are smart to focus on closing the gap.

58% of petrochemical organizations report increased safety risks caused by less experienced workers. Traditional strategies are ineffective. It's time for a solution that can make the new crew function with the accuracy and efficiency of their predecessors. The key is intelligent real-time referencing of all the knowledge the retiring subject matter experts saved within the company: emails sent, reports filed, databases assembled, etc. Delfin helps drastically reduce the safety risks by informing new workers with intelligent answers to their questions whenever they're needed. It's like having a subject matter expert on hand at any time to the whole team. Check out our website for more information.

Oil and Gas needs new age software solutions to maintain efficiency and attract new talent as subject matter experts continue to retire.

How can a fewer number of less experienced technical staff make up the gap left behind by retiring baby boomers? Oil and gas is struggling to maintain decision-making efficiency and effectiveness in the new workforce reality, and attracting qualified candidates to the industry is proving problematic. Both trends point towards implementation of the kind of new age tools expected by the next generation and required to keep operating costs from skyrocketing.

Last year, San Francisco Business Times reported 1,800 companies left California, with most bound for Texas.

Most of the technology firms we know that moved to Texas were lured here by the wave of digital transformation within the energy and industrial sectors. The comparatively high quality of life in major Texas cities is certainly an important factor, but so is the increasing need felt by independent operators and major corporations to explore doing business with new cutting edge software vendors.

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